IN THE UNITED STATES PATENT AND TRADEMARKOFFICE
`
`Control No.
`Patent No.
`Filed
`Customer No.
`
`=: 95/001,914
`: 7,932,923
`: February 29, 2012
`: 06449
`
`Art Unit
`Examiner
`Conf. No.
`Atty. No.
`
`: 3992
`: Deandra M. Hughes
`: 1269
`: 4079-101
`
`Title: VIDEO SURVEILLANCE SYSTEM EMPLOYING VIDEO PRIMITIVES
`
`Mail Stop Inter Partes Reexam
`Central Reexamination Unit
`Commissioner for Patents
`United States Patent & Trademark Office
`P.O. Box 1450
`Alexandria, VA 22313-1450
`
`AMENDMENT AND REPLY
`
`This Amendmentand Reply is in responseto the non-final Office Action dated May 23,
`
`2012.
`
`Amendments to the Claims begin on pageAofthis paper.
`A Listing of the Status of Claims and Support for the New Claims begins on page 2 of
`
`this paper.
`
`Remarks begin on page 3 ofthis paper.
`
`Canon Ex. 1011 Page 1 of 53
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`Canon Ex. 1011 Page 1 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - A
`
`Amendments to the Claims
`
`Pursuant to 37 CFR 1.530 (d)(2) and (f)(2), please add the following proposed new
`
`claims:
`
`42.
`
`(New) The methodof claim 1, wherein the plurality of attributes of the object includesat
`
`least one spatial attribute.
`
`43.
`
`(New) The method of claim 1, wherein the plurality of attributes of the object includes a
`
`color of the object.
`
`44.
`
`(New) The methodof claim 1, wherein the plurality of attributes of the object includes a
`
`size of the object.
`
`45.
`
`(New) The method of claim 1, wherein the plurality of attributes of the object includes at
`
`least one of a velocity and a speed of the object.
`
`46.
`
`New) The method of claim 1, wherein the plurality of attributes of the object includes a
`
`position of the object.
`
`47.
`
`(New) The method of claim 1, wherein the plurality of attributes of the object includes a
`
`trajectory of the object.
`
`Canon Ex. 1011 Page 2 of 53
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`Canon Ex. 1011 Page 2 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - B
`
`48.
`
`(New) The method of claim 1, wherein the plurality ofattributes of the object includes a
`
`classification of the object.
`
`49.__(New) The method of claim 1, wherein theplurality of attributes of the object includes a
`
`shape ofthe object.
`
`50.
`
`(New) The method of claim 8, wherein the plurality of attributes includes at least one
`
`spatial attribute.
`
`51.
`
`(New) The methodof claim 8, wherein the plurality of attributes includesa color of the
`
`first or second object.
`
`52.
`
`(New) The method of claim 8, wherein the plurality of attributes includes a size of the
`
`first or second object.
`
`53.
`
`(New) The method of claim 8, wherein the plurality of attributes includes at least one of a
`
`velocity and a speed ofthefirst or second object.
`
`54.
`
`(New) The method of claim 8, wherein theplurality of attributes includes a position of
`
`the first or second object.
`
`55.
`
`(New) The method of claim 8, wherein the plurality of attributes includes a trajectory of
`
`the first or second object.
`
`Canon Ex. 1011 Page 3 of 53
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`Canon Ex. 1011 Page 3 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - C
`
`56.
`
`(New) The method of claim 8, wherein the plurality of attributes includes a classification
`
`of the first or second object.
`
`57.
`
`(New) The methodof claim 8, wherein the plurality of attributes includes a shape of the
`
`first or second object.
`
`58.
`
`(New) Thevideo device of claim 9, wherein the plurality of attributes of the object
`
`includesat least one spatial attribute.
`
`59.
`
`(New) The video device of claim 9, wherein the plurality of attributes of the object
`
`includes a color of the object.
`
`60.
`
`(New) The video device of claim 9, wherein the plurality of attributes of the object
`
`includes a size of the object.
`
`61.
`
`(New) Thevideo device of claim 9, wherein the plurality of attributes of the object
`
`includesat least one of a velocity and a speed of the object.
`
`62.
`
`(New) Thevideo device of claim 9, wherein the plurality of attributes of the object
`
`includes a position of the object.
`
`Canon Ex. 1011 Page 4 of 53
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`Canon Ex. 1011 Page 4 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - D
`
`63.
`
`(New) The video device of claim 9, wherein the plurality of attributes of the object
`
`includesa trajectory of the object.
`
`64.
`
`(New) The video device of claim 9, wherein the plurality of attributes of the object
`
`includesa classification of the object.
`
`65.
`
`(New) The video device of claim 9, wherein the plurality of attributes of the object
`
`includes a shapeof the object.
`
`66.
`
`(New) The methodof claim 20, wherein each ofthe plurality of attributes of the object is
`
`an observable characteristic of the object.
`
`67.
`
`(New) The methodofclaim 66, wherein the plurality of attributes of the object includes
`
`at least one spatial attribute.
`
`68.
`
`(New) The methodof claim 66, wherein the plurality of attributes of the object includes a
`
`color of the object.
`
`69.
`
`(New) The methodof claim 66, wherein the plurality of attributes of the object includes a
`
`size of the object.
`
`70.
`
`(New) The methodof claim 66, wherein the plurality of attributes of the object includes
`
`at least one of a velocity and a speed ofthe object.
`
`Canon Ex. 1011 Page 5 of 53
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`Canon Ex. 1011 Page 5 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - E
`
`71.
`
`(New) The methodof claim 66, wherein the plurality of attributes of the object includes a
`
`position of the object.
`
`72.
`
`(New) The methodof claim 66, wherein the plurality of attributes of the object includes a
`
`trajectory of the object.
`
`73.
`
`(New) The methodof claim 66, wherein the plurality of attributes of the object includes a
`
`classification of the object.
`
`74.
`
`(New) The methodof claim 66, wherein the plurality of attributes of the object includes a
`
`shape of the object.
`
`75.
`
`(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of attributes of the object includes atleast one spatial attribute.
`
`76.
`(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`plurality of attributes of the object includes a color of the object.
`
`77.
`
`(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of attributes of the object includes a size of the object.
`
`Canon Ex. 1011 Page 6 of 53
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`Canon Ex. 1011 Page 6 of 53
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`

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`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - F
`
`78.
`
`(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of attributes of the object includes at least one of a velocity and a speed of the object.
`
`79.
`
`(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of attributes of the object includes a position of the object.
`
`80.
`
`(New) Thenon-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of attributes of the object includes a trajectory of the object.
`
`81.
`
`(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of attributes of the object includes a classification of the object.
`
`82.
`
`(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of attributes of the object includes a shape of the object.
`
`83.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes at least one spatial attribute.
`
`84.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes a colorof the first or second object.
`
`85.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes a size of the first or second object.
`
`Canon Ex. 1011 Page 7 of 53
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`Canon Ex. 1011 Page 7 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - G
`
`86.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes at least one of a velocity and a speed ofthe first or second object.
`
`87.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes a position of the first or second object.
`
`88.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes a trajectory ofthe first or second object.
`
`89.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes a classification of the first or second object.
`
`90.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of attributes includes a shapeofthefirst or secondobject.
`
`91.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes at least
`
`one spatial attribute.
`
`92.
`
`(New) Thevideo device of claim 30, wherein the plurality of attributes includes a color
`
`of the first or second object.
`
`Canon Ex. 1011 Page 8 of 53
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`Canon Ex. 1011 Page 8 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - H
`
`93.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes a size of
`
`the first or second object.
`
`94.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes at least
`
`oneof a velocity and a speed ofthe first or second object.
`
`95.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes a
`
`position ofthe first or second object.
`
`96.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes a
`
`trajectory of the first or second object.
`
`97.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes a
`
`classification of the first or second object.
`
`98.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes a shape
`
`of the first or second object.
`
`99.
`
`(New) A method comprising:
`
`automatically detecting, via a computer system having a computer comprising a computer
`
`readable medium,an object in a video from a single camera;
`
`automatically detecting, via the computer system,a plurality of attributes of the object by
`
`analyzing the video from said single camera, the plurality of attributes including at least one ofa
`
`Canon Ex. 1011 Page 9 of 53
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`Canon Ex. 1011 Page 9 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims- I
`
`physical attribute and a temporalattribute, each attribute representing a characteristic of the
`
`detected object;
`
`selecting, via the computer system, a new user rule after detecting the plurality of
`
`attributes, wherein selecting the new user rule comprises the computer system retrieving a new
`
`user rule that was previously specified; and
`
`after detecting the plurality of attributes and after selecting the new userrule, identifying,
`
`via the computer system, an event of the object that is not one of the detected attributes of the
`object by applying the new user rule to the plurality of detected attributes;
`
`wherein the plurality of attributes that are detected are independent of which eventis
`
`identified,
`
`wherein the step of identifying the event of the object identifies the event without
`
`reprocessing the video, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
`100._(New) The methodof claim 99, wherein selecting the new user rule comprises selecting a
`
`subset ofthe plurality of attributes for analysis.
`
`101._(New) The methodof claim 99, wherein the plurality of attributes that are detected are
`
`defined in a device prior to a selection of a subsetof the plurality of attributes.
`
`102._(New) The methodof claim 99, wherein no analysis is performed on at least some of the
`
`detected attributes to detect an event.
`
`Canon Ex. 1011 Page 10 of 53
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`Canon Ex. 1011 Page 10 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - J
`
`103._(New) The method of claim 99, wherein the plurality of attributes include plural physical
`
`attributes and the method comprises applying the new userrule to a plural number of physical
`
`attributes.
`
`104._(New) The methodof claim 99, wherein the plurality of attributes include plural temporal
`
`attributes and the method comprises applying the new userrule to a plural number of temporal
`
`attributes.
`
`105.
`
`(New) The method of claim 99, further comprising:
`
`storing the detected attributes in memory; and
`
`identifying the event of the object by analyzing only a subsetof the attributes stored in
`
`the memory.
`
`106._(New) The method ofclaim 99, wherein the plurality of attributes of the object includes
`
`at least one spatial attribute.
`
`107._(New) The methodof claim 99, wherein theplurality of attributes of the object includes a
`
`color of the object.
`
`108._(New) The method of claim 99, wherein the plurality of attributes of the object includes a
`
`size of the object.
`
`Canon Ex. 1011 Page 11 of 53
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`Canon Ex. 1011 Page 11 of 53
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`

`

`109._(New) The method of claim 99, wherein the plurality of attributes of the object includes
`
`at least one of a velocity and a speed of the object.
`
`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claim. - K
`
`110.
`
`_(New) The method of claim 99, wherein the plurality of attributes of the object includes a
`
`position of the object.
`
`111.
`
`_(New) The method of claim 99, wherein the plurality of attributes of the object includes a
`
`trajectory of the object.
`
`112.
`
`_(New) The method of claim 99, wherein the plurality of attributes of the object includes a
`
`classification of the object.
`
`113.
`
`_(New) The method of claim 99, wherein the plurality of attributes of the object includes a
`
`shape of the object.
`
`114.
`
`(New) A method comprising:
`
`automatically detecting, via a computer system having a computer comprising a computer
`
`readable medium,first and second objects in a video from a single camera;
`
`automatically detecting, via the computer system,a plurality of attributes of each of the
`
`detected first and second objects by analyzing the video from said single camera, eachattribute
`representing a characteristic of the respective detected object;
`
`selecting, via the computer system, a new user rule, wherein selecting the new userrule
`
`comprises the computer system retrieving a new user rule that was previously specified; and
`
`Canon Ex. 1011 Page 12 of 53
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`Canon Ex. 1011 Page 12 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - L
`
`after detecting the plurality of attributes, identifying, via the computer system, an event
`
`that is not one of the detected attributes of the first and second objects by applying the new user
`
`rule to the plurality of detected attributes;
`
`wherein the plurality of attributes that are detected are independent of which eventis
`
`identified,
`
`wherein the step of identifying an event of the object comprises identifying a first event
`
`ofthe first object interacting with the second object by analyzing the detected attributes of the
`
`first and second objects, the first event not being one of the detected attributes, and
`
`wherein the eventof the object refers to the object engaged in an activity.
`
`115.
`
`_(New) A video device comprising:
`
`meansfor automatically detecting first and second objects in a video from a single
`
`camera;
`
`means for automatically detecting a plurality of attributes of each of the detected first and
`
`second objects by analyzing the video from said single camera, each attribute representing a
`
`characteristic of the respective detected object;
`
`a memorystoring the plurality of detected attributes; and
`
`meansfor identifying an eventofthe first object interacting with the second object by
`
`applying a selected new userrule to the plurality of attributes stored in memory, and for
`
`identifying the event independent of when the attributes are stored in memory, the event not
`
`being oneofthe detected attributes,
`
`wherein the eventof the object refers to the object engaged in an activity.
`
`Canon Ex. 1011 Page 13 of 53
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`Canon Ex. 1011 Page 13 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - M
`
`116.
`
`_(New) The video device of claim 115, further comprising:
`
`a video camera operable to obtain the video.
`
`117._(New) Thevideo device of claim 115, wherein the meansfor identifying an event ofthe
`
`first object interacting with the second object comprises meansfor identifying a first event in real
`
`time by analyzing,of the plurality of attributes, only a first selected subsetof the plurality of
`
`attributes.
`
`118._(New) The video device of claim 117, wherein the meansfor identifying an event ofthe
`
`first objectinteracting with the second object comprises means for identifying a second event by
`
`analyzing, of the plurality of attributes, only a second selected subset of the plurality of attributes
`
`which have beenarchived.
`
`119._(New) The video device of claim 115, wherein applying a selected new user rule
`
`comprises analyzing, of the plurality of attributes, only a selected subset of the plurality of
`
`attributes.
`
`120._(New) Thevideo device of claim 115,
`
`wherein the memoryis configured to store at least someofthe plurality of attributes for
`
`at least two months, and
`
`wherein the meansfor identifying an eventofthe first object interacting with the second
`
`object includes meansfor identifying the event by analyzing only a selected subset of the
`
`Canon Ex. 1011 Page 14 of 53
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`Canon Ex. 1011 Page 14 of 53
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`

`

`Attorney Docket No. 4079-101
`Contro! No. 95/001,914
`Claims - N
`
`plurality of attributes including the at least some ofthe plurality of attributes stored for at least
`
`two months.
`
`121._(New) The video device of claim 115, wherein the means for identifying an event
`
`includes meansfor identifying the event without reprocessing the video.
`
`122._(New) Thevideo device of claim 115, wherein the meansfor identifying an event
`
`includes meansfor identifying the event by analyzing at least two selected physical attributes of
`
`the plurality of attributes.
`
`123.
`
`_(New) Thevideo device of claim 115, wherein the identifying means identifies an event
`
`by analyzing a selection of individual ones of the detected plural attributes.
`
`124._(New) The video device of claim 115, wherein the pluralattributes detected by the means
`
`for detecting are defined in the video device independentof a selection of the detected plural
`
`attributes.
`
`125.
`
`_(New) The video device of claim 115, wherein the video surveillance device is a
`
`computer system configured as a video surveillance device.
`
`126.
`
`_(New) The video device of claim 115, further comprising video sensors.
`
`Canon Ex. 1011 Page 15 of 53
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`Canon Ex. 1011 Page 15 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - O
`
`127._(New) Thevideo device of claim 115, wherein the plurality of attributes includes at least
`
`one spatial attribute.
`
`128._(New) Thevideo device of claim 115, wherein the plurality of attributes includes a color
`
`of the first or second object.
`
`129,
`
`(New) The video device of claim 115, wherein the plurality of attributes includes a size
`
`of the first or second object.
`
`130.
`
`_(New) Thevideo device of claim 115, wherein the plurality of attributes includes atleast
`
`one of a velocity and a speed ofthe first or second object.
`
`131._(New) The video device of claim 115, wherein the plurality of attributes includes a
`
`position of the first or second object.
`
`132._(New) The video device of claim 115, wherein the plurality of attributes includes a
`
`trajectory of the first or second object.
`
`133._(New) The video device of claim 115, wherein the plurality of attributes includes a
`
`classification of the first or second object.
`
`134.
`
`(New) The video device of claim 115, wherein the plurality of attributes includes a shape
`
`of the first or second object.
`
`Canon Ex. 1011 Page 16 of 53
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`Canon Ex. 1011 Page 16 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - P
`
`135.
`
`_(New) The methodofclaim 99, wherein the computer of the computer system is
`
`application-specific hardware.
`
`136._(New) The methodof claim 114, wherein the computerof the computer system is
`
`application-specific hardware.
`
`137._(New) A computer program product comprising a non-transitory computer readable
`
`medium storing computer readable code embodied in the medium, the computer program
`
`product comprising:
`
`program code for causing a computerto detect an object in a video from a single camera;
`
`program code for causing a computer to detect a plurality of attributes of the object by
`
`analyzing the video from said single camera, the plurality of attributes including at least one of a
`
`physical attribute and a temporalattribute, each attribute representing a characteristic of the
`
`detected object;
`
`program code for causing a computer to select a new userrule after detecting the plurality
`
`of attributes, wherein causing the computerto select the new user rule comprises causing the
`
`computerto retrieve a new userrule that was previously specified; and
`
`program code for causing a computerto, after detecting the plurality of attributes and
`
`after selecting the new userrule, identify an event of the object that is not one ofthe detected
`
`attributes of the object by applyingthe newuser rule to the plurality of detected attributes, the
`
`event of the object being identified without reprocessing the video;
`
`Canon Ex. 1011 Page 17 of 53
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`Canon Ex. 1011 Page 17 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - Q
`
`wherein the plurality of attributes that are detected are independent of which eventis
`
`identified, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
`138.
`
`(New) A computer program product comprising a non-transitory computer readable
`
`medium storing computer readable code embodied in the medium, the computer program
`
`product comprising:
`
`program code for causing a computer to detect first and second objects in a video from a
`
`single camera;
`
`program codefor causing a computerto detect a plurality of attributes of each ofthe
`
`detected first and second objects by analyzing the video from said single camera, each attribute
`
`representing a characteristic of the respective detected object;
`
`program code for causing a computer to select a new user rule, wherein causing the
`
`computerto select the new user rule comprises causing the computerto retrieve a new userrule
`
`that was previously specified; and
`
`program code for causing a computerto, after detecting the plurality of attributes,
`
`identify an eventthatis not one of the detected attributes of the first and second objects by
`
`applying the new user rule to the plurality of detected attributes;
`
`whereinthe plurality of attributes that are detected are independent of which eventis
`
`identified,
`
`wherein the program code for causing a computerto identify an event comprises program
`
`code for causing a computerto identify a first event of the first object interacting with the second
`
`Canon Ex. 1011 Page 18 of 53
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`Canon Ex. 1011 Page 18 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims -R
`
`object by analyzing the detectedattributes of the first and second objects, the first event not
`
`being one of the detected attributes, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
`139._(New) Thevideo device of claim 9, wherein the plurality of detected attributes are
`
`independent of which eventis identified.
`
`140._(New) The video device of claim 30, wherein the plurality of detected attributes are
`
`independent of which eventis identified.
`
`141._(New) The methodofclaim 1, wherein selecting the new user rule comprises a computer
`
`retrieving a new userrule that was previously specified.
`
`142._(New) The methodof claim 8, wherein selecting the new user rule comprises a computer
`
`retrieving a new userrule that was previously specified.
`
`143.
`
`(New) Thevideo device of claim 9, wherein selecting the new user rule comprises
`
`retrieving a new userrule that was previously specified.
`
`144._(New) The methodof claim 20, wherein selecting the new user rule comprisesretrieving
`
`a new userrule that was previously specified.
`
`Canon Ex. 1011 Page 19 of 53
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`Canon Ex. 1011 Page 19 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - S
`
`145._(New) The non-transitory computer-readable storage medium of claim 22, wherein
`
`selecting the new user rule comprises the computer system retrieving a new userrule that was
`
`previously specified.
`
`146.
`
`_(New) The non-transitory computer-readable storage medium of claim 29, wherein
`
`selecting the new user rule comprises the computer system retrieving a new user rule that was
`
`previously specified.
`
`147._(New) The methodof claim 1, wherein the plurality of detected attributes are selected
`
`from the group consisting of at least one ofa size, a shape, a color, a texture, a position,a
`
`velocity, and a speed of the detected object.
`
`148._(New) The method of claim 8, wherein the plurality of detected attributes are selected
`
`from the group consisting of at least oneof a size, a shape, a color, a texture, a position, a
`
`velocity, and a speed of the detected first or second object.
`
`149._(New) The video device of claim 9, wherein the plurality of detected attributes are
`
`selected from the group consisting of at least one ofa size, a shape, a color, a texture, a position,
`
`a velocity, and a speed of the detected object.
`
`150._(New) The methodofclaim 20, wherein the detected attributes are selected from the
`
`group consisting of at least one of a size, a shape, a color, a texture, a position, a velocity, and a
`
`speed of the detected object.
`
`Canon Ex. 1011 Page 20 of 53
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`Canon Ex. 1011 Page 20 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - T
`
`151.
`
`_(New) The non-transitory computer-readable storage medium of claim 22, wherein the
`
`plurality of detected attributes are selected from the group consisting of at least one of a size, a
`
`shape, a color, a texture, a position, a velocity, and a speed of the detected object.
`
`152._(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`plurality of detected attributes are selected from the group consisting of at least one of a size, a
`
`shape, a color, a texture, a position, a velocity, and a speed of the detected first or second object.
`
`153._(New) The video device of claim 30, wherein the plurality of detected attributes are
`
`selected from the group consisting of at least one of a size, a shape, a color, a texture, a position,
`
`a velocity, and a speed of the detected first or second object.
`
`154,_(New) The methodof claim 99, wherein the plurality of detected attributes are selected
`
`from a group consisting ofat least one of a size, a shape, a color, a texture, a position, a velocity,
`
`and a speed of the detected object.
`
`155.
`
`_(New) The method of claim 114, wherein the plurality of detected attributes are selected
`
`from the group consisting of at least one of a size, a shape, a color, a texture, a position, a
`
`velocity, and a speed ofthe detected first or second object.
`
`Canon Ex. 1011 Page 21 of 53
`
`Canon Ex. 1011 Page 21 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - U
`
`156._(New) The video device of claim 115, wherein the plurality of detected attributes are
`
`selected from the group consistingof at least one of a size, a shape, a color, a texture, a position,
`
`a velocity, and a speed of the detected first or second object.
`
`157._(New) The computer program product of claim 137, wherein the plurality of detected
`
`attributes are selected from the group consisting of at least oneof a size, a shape, a color, a
`
`texture, a position, a velocity, and a speed of the detected object.
`
`158.
`
`(New) The computer program product of claim 138, wherein the plurality of detected
`
`attributes are selected from the group consisting of at least one of a size, a shape, a color, a
`
`texture, a position, a velocity, and a speed of the detected first or second object.
`
`159.
`
`(New) The method of claim 1, wherein identifying the event of the object occurs in real
`
`time.
`
`160.
`
`_(New) The method of claim 8, wherein identifying the event occurs in real time.
`
`161.
`
`_(New) The methodof claim 8, further comprising storing the detected attributes in a
`
`memory;
`
`wherein analyzing the detected attributes occurs after the detected attributes have been
`
`stored in the memory.
`
`Canon Ex. 1011 Page 22 of 53
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`Canon Ex. 1011 Page 22 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - V
`
`162.
`
`(New) The non-transitory computer-readable storage medium of claim 22, wherein
`
`identifying the event of the object occurs in real time.
`
`163._(New) The non-transitory computer-readable storage medium of claim 29, wherein
`
`identifying the event occurs in real time.
`
`164.
`
`(New) The non-transitory computer-readable storage medium of claim 29, wherein the
`
`method implemented by the computer system further comprises storing the detected attributes in
`
`a memory;
`
`wherein analyzing the detected attributes occurs after the detected attributes have been
`
`stored in the memory.
`
`165._(New) The methodof claim 99, wherein identifying the event of the object occurs in real
`
`time.
`
`166.
`
`_(New) The methodofclaim 114, wherein identifying the event occurs in real time.
`
`167.
`
`_(New) The method ofclaim 114, further comprising storing the detected attributes in a
`
`memory;
`
`wherein analyzing the detected attributes occurs after the detected attributes have been
`
`stored in the memory.
`
`Canon Ex. 1011 Page 23 of 53
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`Canon Ex. 1011 Page 23 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - W
`
`168.
`
`_(New) The computer program product of claim 137, wherein the program codefor
`
`causing the computerto identify the event of the object causes the computer to identify the event
`
`of the objectin real time.
`
`169.
`
`(New) The computer program product of claim 137, further comprising program code for
`
`causing a computerto store the plurality of detected attributes in a memory;
`
`wherein the program code for causing the computerto identify the event of the object
`
`applies the new userrule to the plurality of detected attributes after the plurality of detected
`
`attributes have been stored in the memory.
`
`170.
`
`_(New) The computer program product of claim 138, wherein the program code for
`
`causing the computerto identify the event causes the computer to identify the event in real time.
`
`171.
`
`(New) The computer program product of claim 138, further comprising program code for
`
`causing a computerto store the plurality of detected attributes in a memory;
`
`wherein the program code for causing the computer to identify the event applies the new user
`
`rule to the plurality of detected attributes after the plurality of detected attributes have been
`
`stored in the memory.
`
`Canon Ex. 1011 Page 24 of 53
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`Canon Ex. 1011 Page 24 of 53
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`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Page 2
`
`Status of Claims and Support for the Proposed New Claims
`
`Claims 1-41 are pending in this reexamination and have not been amended. Claims 42-171
`are proposed to be added. In accordance with 37 CFR 1.530(j), none of the requested new claims
`enlarges the scopeof the patented claims or adds new matter. Support for the proposed new claims
`is found throughoutthespecifications of U.S. Patent No. 7,932,923 and U.S. Patent Application No.
`
`09/987,707, filed on November15, 2001, including the portionscited in the support chart below.
`
`See 37 C.F.R. § 1.132 Declaration of Dr. Kenneth A. Zeger Dec. (“Zeger Dec.’’), {| 16.
`
`See, e.g., ‘923 Patentat col. 7, Il. 1-12 & col. 7, ll. 47-65 (‘707 Application at J] 80 & 88).
`
`See, e.g., ‘923 Patentat col. 7, Il. 1-12 & col. 7, ll. 47-65 (‘707 Application at TJ] 80 & 88).
`
`See, e.g., ‘923 Patentat col. 7, Il. 47-65 & col. 10,Il. 31-41 (‘707 Application at ff] 88 & 114).
`
`See, e.g., ‘923 Patentat col. 7, 11. 1-16 & col. 10, Il. 42-48 (‘707 Application at FJ 80, 81, 115).
`
`
`
`
`
`
`New Claim(s)
`42, 50, 58, 67, 75,
`83, 91, 106, 127
`43, 51, 59, 68, 76,
`84, 92, 107, 128
`44, 52, 60, 69, 77,|See, e.g., ‘923 Patentat col. 7, Il. 17-23 (‘707 Application at J 82).
`85, 93, 108, 129
`45, 53, 61, 70, 78,
`86, 94, 109, 130
`46, 54, 62, 71, 79,
`87, 95, 110, 131
`47, 55, 63, 72, 80,
`88, 96, 111, 132
`48, 56. 64, 73, 81,
`89, 97, 112, 133
`49, 57, 65, 74, 82,
`90, 98, 113, 134
`
`
`See, e.g., ‘923 Patentat col. 4, 1. 63-col. 5, 1. 5 & col. 7, Il. 1-12 (‘707 Application at Tf] 66 & 80).
`
`See, é.g., ‘923 Patentat col. 7, ll. 24-28 (‘707 Application at J 83).
`
`
`
`
`
`
`
` See, e.g., 923 Patentat col.7, ll. 1-12 (‘707 Application at J 80).
`See, e.g., ‘923 Patentat claim 1; Figs. 4 & 9; col. 3, 1. 47-col. 4, L. 3; col. 4, Il. 7-9; col. 5, |. 60-col. 6,1.
`
`2; col. 6, ll. 61-67; col. 9, II. 13-22; col. 10, 1. 63-col. 11, 1.9; col. 14, 1. 56-col. 15, 1. 10; cel. 15, HL.
`
`
`14-45 (‘707 Application at Figs. 4 and 9 & 91 49, 50, 52, 71, 79, 104, 118, 148, 151-154).
`
`
`
`
`