IN THE UNITED STATES PATENT AND TRADEMARK OFFICE
`
`: 95/001,914
`Control No.
`: 7,932,923
`Patent No.
`: February 29, 2012
`Filed
`Customer No. : 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 Amendment and Reply is in response to the non-final Office Action dated May 23,
`
`2012.
`
`Amendments to the Claims begin on page A of this 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 of this paper.
`
`

`

`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 method of claim 1, wherein the plurality of attributes of the object includes at
`
`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 method of 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.
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - B
`
`48.
`
`(New) The method of claim 1. wherein the plurality of attributes of the object includes a
`
`classification of the object.
`
`49.
`
`(New) The method of claim 1. wherein the plurality of attributes of the object includes a
`
`shape of the object.
`
`50.
`
`(New) The method of claim 8. wherein the plurality of attributes includes at least one
`
`spatial attribute.
`
`51.
`
`(New) The method of claim 8, wherein the plurality of attributes includes a 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 of the first or second object.
`
`54.
`
`(New) The method of claim 8, wherein the plurality 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.
`
`

`

`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 method of claim 8. wherein the plurality of attributes includes a shape of the
`
`first or second object.
`
`58.
`
`(New) The video device of claim 9, wherein the plurality of attributes of the object
`
`includes at 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) The video device of claim 9. wherein the plurality of attributes of the object
`
`includes at least one of a velocity and a speed of the object.
`
`62.
`
`(New) The video device of claim 9. wherein the plurality of attributes of the object
`
`includes a position of the object.
`
`

`

`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
`
`includes a trajectory of the object.
`
`64.
`
`(New) The video device of claim 9. wherein the plurality of attributes of the object
`
`includes a classification of the object.
`
`65.
`
`(New) The video device of claim 9. wherein the plurality of attributes of the object
`
`includes a shape of the object.
`
`66.
`
`(New) The method of claim 20. wherein each of the plurality of attributes of the object is
`
`an observable characteristic of the object.
`
`67.
`
`(New) The method of claim 66. wherein the plurality of attributes of the object includes
`
`at least one spatial attribute.
`
`68.
`
`(New) The method of claim 66. wherein the plurality of attributes of the object includes a
`
`color of the object.
`
`69.
`
`(New) The method of claim 66. wherein the plurality of attributes of the object includes a
`
`size of the object.
`
`70.
`
`(New) The method of claim 66, 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
`Claims - E
`
`71.
`
`(New) The method of claim 66, wherein the plurality of attributes of the object includes a
`
`position of the object.
`
`72.
`
`(New) The method of claim 66, wherein the plurality of attributes of the object includes a
`
`trajectory of the object.
`
`73.
`
`(New) The method of claim 66, wherein the plurality of attributes of the object includes a
`
`classification of the object.
`
`74.
`
`(New) The method of 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 at least 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.
`
`

`

`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) The non-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 color of the first or second object.
`
`85.
`
`(New) The non-transitory computer-readable storage medium of claim 29. wherein th~
`
`plurality of attributes includes a size of the first or second object.
`
`

`

`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 of the 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 of the 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 shape of the first or second object.
`
`91.
`
`(New) The video device of claim 30, wherein the plurality of attributes includes at least
`
`one spatial attribute.
`
`92.
`
`(New) The video device of claim 30. wherein the plurality of attributes includes a color
`
`of the first or second object.
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claim., - 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
`
`one of a velocity and a speed of the first or second object.
`
`95.
`
`(New) The video device of claim 30. wherein the plurality of attributes includes a
`
`position of the 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 of a
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - I
`
`physical attribute and a temporal attribute, 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 user rule, 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 event is
`
`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 method of claim 99, wherein selecting the new user rule comprises selecting a
`
`subset of the plurality of attributes for analysis.
`
`101.
`
`(New) The method of claim 99, wherein the plurality of attributes that are detected are
`
`defined in a device prior to a selection of a subset of the plurality of attributes.
`
`102.
`
`(New) The method of claim 99, wherein no analysis is performed on at least some of the
`
`detected attributes to detect an event.
`
`

`

`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 user rule to a plural number of physical
`
`attributes.
`
`104.
`
`(New) The method of claim 99. wherein the plurality of attributes include plural temporal
`
`attributes and the method comprises applying the new user rule 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 subset of the attributes stored in
`
`the memory.
`
`106.
`
`(New) The method of claim 99. wherein the plurality of attributes of the object includes
`
`at least one spatial attribute.
`
`107.
`
`(New) The method of claim 99. wherein the plurality 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.
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claim., - K
`
`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.
`
`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, each attribute
`
`representing a characteristic of the respective detected object;
`
`selecting, via the computer system. a new user rule. wherein selecting the new user rule
`
`comprises the computer system retrieving a new user rule that was previously specified; and
`
`

`

`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 event is
`
`identified.
`
`wherein the step of identifying an event of the object comprises identifying a first event
`
`of the 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 event of the object refers to the object engaged in an activity.
`
`115.
`
`(New) A video device comprising:
`
`means for 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 memory storing the plurality ofdetected attributes; and
`
`means for identifying an event of the first object interacting with the second object by
`
`applying a selected new user rule 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 one of the detected attributes.
`
`wherein the event of the object refers to the object engaged in an activity.
`
`

`

`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) The video device of claim 115. wherein the means for identifying an event of the
`
`frrst object interacting with the second object comprises means for identifying a first event in real
`
`time by analyzing. of the plurality of attributes. only a first selected subset of the plurality of
`
`attributes.
`
`118.
`
`(New) The video device of claim 117, wherein the means for identifying an event of the
`
`first object' interacting 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 been archived.
`
`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) The video device of claim 115.
`
`wherein the memory is configured to store at least some of the plurality of attributes for
`
`at least two months, and
`
`wherein the means for identifying an event of the first object interacting with the second
`
`object includes means for identifying the event by analyzing only a selected subset of the
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claim<: - N
`
`plurality of attributes including the at least some of the 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 means for identifying the event without reprocessing the video.
`
`122.
`
`(New) The video device of claim 115. wherein the means for identifying an event
`
`includes means for identifying the event by analyzing at least two selected physical attributes of
`
`the plurality of attributes.
`
`123.
`
`(New) The video 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 plural attributes detected by the means
`
`for detecting are defined in the video device independent of 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.
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - 0
`
`127.
`
`(New) The video device of claim 115, wherein the plurality of attributes includes at least
`
`one spatial attribute.
`
`128.
`
`(New) The video 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) The video device of claim 115, wherein the plurality of attributes includes at least
`
`one of a velocity and a speed of the 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.
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - P
`
`135.
`
`(New) The method of claim 99. wherein the computer of the computer system is
`
`application-specific hardware.
`
`136.
`
`(New) The method of claim 114. wherein the computer of 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 computer to 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 temporal attribute, each attribute representing a characteristic of the
`
`detected object:
`
`program code for causing a computer to select a new user rule after detecting the plurality
`
`of attributes, wherein causing the computer to select the new user rule comprises causing the
`
`computer to retrieve a new user rule that was previously specified: and
`
`program code for causing a computer to. after detecting the plurality of attributes and
`
`after selecting the new user rule. identify 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. the
`
`event of the object being identified without reprocessing the video:
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - Q
`
`wherein the plurality of attributes that are detected are independent of which event is
`
`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 code for causing a computer to detect 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;
`
`program code for causing a computer to select a new user rule, wherein causing the
`
`computer to select the new user rule comprises causing the computer to retrieve a new user rule
`
`that was previously specified; and
`
`program code for causing a computer to, after detecting the plurality of attributes,
`
`identify 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 event is
`
`identified,
`
`wherein the program code for causing a computer to identify an event comprises program
`
`code for causing a computer to identify a first event of the first object interacting with the second
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - R
`
`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 event of the object refers to the object engaged in an activity.
`
`139.
`
`(New) The video device of claim 9, wherein the plurality of detected attributes are
`
`independent of which event is identified.
`
`140.
`
`(New) The video device of claim 30, wherein the plurality of detected attributes are
`
`independent of which event is identified.
`
`141.
`
`(New) The method of claim 1, wherein selecting the new user rule comprises a computer
`
`retrieving a new user rule that was previously specified.
`
`142.
`
`(New) The method of claim 8, wherein selecting the new user rule comprises a computer
`
`retrieving a new user rule that was previously specified.
`
`143.
`
`(New) The video device of claim 9, wherein selecting the new user rule comprises
`
`retrieving a new user rule that was previously specified.
`
`144.
`
`(New) The method of claim 20, wherein selecting the new user rule comprises retrieving
`
`a new user rule that was previously specified.
`
`

`

`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 user rule 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 method of claim 1, 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.
`
`148.
`
`(New) The method of claim 8, 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.
`
`149.
`
`(New) The video device of claim 9, 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.
`
`150.
`
`{New) The method of claim 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.
`
`

`

`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 method of claim 99. wherein the plurality of detected attributes are selected
`
`from a 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.
`
`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 of the detected first or second object.
`
`

`

`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 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.
`
`157.
`
`(New) The computer program product of claim 137, 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.
`
`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
`
`160.
`
`(New) The method of claim 8, wherein identifying the event occurs in real time.
`
`161.
`
`(New) The method of 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.
`
`

`

`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 method of claim 99, wherein identifying the event of the object occurs in real
`
`166.
`
`(New) The method of claim 114, wherein identifying the event occurs in real time.
`
`167.
`
`(New) The method of claim 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.
`
`

`

`Attorney Docket No. 4079-101
`Control No. 95/001,914
`Claims - W
`
`168.
`
`(New) The computer program product of claim 137, wherein the program code for
`
`causing the computer to identify the event of the object causes the computer to identify the event
`
`of the object in real time.
`
`169.
`
`(New) The computer program product of claim 137, further comprising program code for
`
`causing a computer to store the plurality of detected attributes in a memory;
`
`wherein the program code for causing the computer to identify the event of the object
`
`applies the new user rule 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 computer to 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 computer to 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.
`
`

`

`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 1.530U), none of the requested new claims
`enlarges the scope of the patented claims or adds new matter. Support for the proposed new claims
`is found throughout the specifications of U.S. Patent No. 7,932,923 and U.S. Patent Application No.
`09/987,707, filed on November 15, 2001, including the portions cited in the support chart below.
`See 37 C.F.R. § 1.132 Declaration of Dr. Kenneth A. Zeger Dec. ("Zeger Dec."), 9[ 16.
`Sunnort in the '923 Patent ('707 Aonlication)
`See, e.g., '923 Patent at col. 4, I. 63-col. 5, I. 5 & col. 7, II. 1-12 ('707 Application at WI 66 & 80).
`
`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,
`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
`66
`
`99
`
`100-105
`
`114
`
`l I 5
`
`116-126
`135, 136
`
`137
`
`138
`
`139, 140
`
`141-146
`
`147-158
`159, 160, 162,
`163, 165, 166,
`168, 170
`161, 164, 167,
`169,171
`
`See, e.g., '923 Patent at col. 7, II. 24-28 ('707 Application at'I[ 83).
`
`See, e.g., '923 Patent at col. 7, II. 17-23 ('707 Application at 'II 82).
`
`See, e.g., '923 Patent at col. 7, II. 1-12 & col. 7, II. 47-65 ('707 Application at WI 80 & 88).
`
`See, e.g., '923 Patent at col. 7, JI. 1-12 & col. 7, II. 47-65 ('707 Application at WI 80 & 88).
`
`See, e.g., '923 Patent at col. 7, II. 47-65 & col. 10, II. 31-41 ('707 Application at WI 88 & 114).
`
`See, e.g., '923 Patent at col. 7, II. l-16 & col. 10, JI. 42-48 ('707 Application at WI 80, 81, l I 5).
`
`See, e.g., '923 Patent at col. 7, 11. 1-12 & col. 7, I. 66-col. 8, I. 4 ('707 Application at WI 80 & 89).
`
`See, e.f(., '923 Patent at col. 7, II. l-12 ('707 Aoolication at 'l] 80).
`See, e.g., '923 Patent at claim l; Figs. 4 & 9; col. 3, I. 47-col. 4, I. 3; col. 4, II. 7-9; col. 5, I. 60-col. 6, I.
`2; col. 6, II. 61-67; col. 9, II. 13-22; col. 10, I. 63-col. 11, I. 9; col. 14, I. 56-col. 15, I. 10; er\. 15, II.
`14-45 ('707 Aoolication at Figs. 4 and 9 & WI 49, 50, 52, 71, 79, 104, 118, 148, 151-154).
`See, e.f(., '923 Patent at claims 2-7, respectively.
`See, e.g., '923 Patent at claim 8; Figs. 4 & 9; col. 3, I. 47-col. 4, I. 3; col. 4, II. 7-9; col. 5, I. 60-col. 6, I.
`2; col. 6, II. 61-67; col. 9, II. 13-22; col. IO, I. 63-col. 11, I. 9; col. 14, I. 56-col. 15, I. IO; col. 15, I