US7200249B2
Expired / Lapsed
US
⏱️ 0.0 years remaining
Robot device and face identifying method, and image identifying device and image identifying method
Assignee: Sony Corp
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Filing: 2001-11-19
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Granted: 2007-04-03
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Expires: 2021-11-19
Abstract
Abstract A robot apparatus includes face includes a face tracking module (M 2 ) for tracking a face in an image photographed by a CCD camera, a face detecting module (M 1 ) for detecting face data of the face in the image photographed by the image pickup device, based on the face tracking information by the face tracking module (M 2 ) and a face identification module (M 3 ) for identifying a specified face based on the face data as detected by the face data detecting module (M 1 ).
Inventors
- 👤 Atsushi Okubo
- 👤 Kohtaro Sabe
- 👤 Kenta Kawamoto
- 👤 Masaki Fukuchi
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 10:16
CPC Classifications
G; G06; G06T; G06T7/00; G06T7/20; G06T7/246; G06T7/90; G06V; G06V40/00; G06V40/10; G06V40/16; G06V40/161
Claims Analysis
Total Claims: 20
Claim 1
Independent Claim
118 words
An autonomously acting robot apparatus comprising: image pickup means; face data tracking means for tracking a face changing in an image photographed by said image pickup means; face data detecting means for detecting face data of the face in the image photographed by said image pickup means, based on the face tracking information by said face tracking information; face identification means for identifying a specified face based on said face data as detected by said face data detection means; and learning means for using a difference between registered face data previously obtained and face data detected by said face data detection means to acquire a learned difference value to establish a characteristic space by said learned difference value.
Claim 2
Dependent Claim
118 words
An autonomously acting robot apparatus comprising: image pickup means; face data tracking means for tracking a face changing in an image photographed by said image pickup means; face data detecting means for detecting face data of the face in the image photographed by said image pickup means, based on the face tracking information by said face tracking information; face identification means for identifying a specified face based on said face data as detected by said face data detection means; and learning means for using a difference between registered face data previously obtained and face data detected by said face data detection means to acquire a learned difference value to establish a characteristic space by said learned difference value.
Claim 3
Dependent Claim
25 words
The robot apparatus according to claim 1 wherein said face data detecting means is a support vector machine for discriminating the face and the non-face.
Claim 4
Dependent Claim
35 words
The robot apparatus according to claim 1 wherein said face tracking means tracks at least one of the movement and the shape change of said face in said image as face changes in said image.
Claim 5
Dependent Claim
52 words
The robot apparatus according to claim 1 wherein said face tracking means is object tracking means for tracking an object in the image based on color and for tracking the so specified object; said object tracking means tracking an object specified by a preset color and tracking said object as said face.
Claim 6
Dependent Claim
19 words
The robot apparatus according to claim 4 wherein said face tracking means tracks said face by exploiting color distribution.
Claim 7
Dependent Claim
24 words
The robot apparatus according to claim 5 wherein said face tracking means tracks said face by normal distribution obtained on normalizing said color distribution.
Claim 8
Dependent Claim
39 words
The robot apparatus according to claim 1 wherein said face identification means identifies a specified face based on the results of comparison between registered face data previously obtained and said face data detected by said face data detection means.
Claim 9
Dependent Claim
42 words
The robot apparatus according to claim 7 wherein said person identification means identifies the specified face based on statistics of a plurality of results of comparison as obtained on a plurality of face data chronologically output by said face data detection means.
Claim 10
Dependent Claim
47 words
The robot apparatus according to claim 7 wherein said face identification means identifies the specified face based on a detected difference value obtained on taking the difference between the totality of registered face data previously obtained and said face data detected by said face data detection means.
Claim 11
Dependent Claim
26 words
The robot apparatus according to claim 9 wherein said face identification means identifying a specified person based on said detected difference value in said characteristic space.
Claim 12
Dependent Claim
46 words
The robot apparatus according to claim 7 further comprising: storage means in which said registered face data is stored as database; and image pickup mode image pickup means for storing a face image photographed in the image pickup mode in said database as registered face data.
Claim 13
Dependent Claim
29 words
The robot apparatus according to claim 1 having the appearance after the shape of an animal; said image pickup means performing the role of an eye of said animal.
Claim 14
Independent Claim
131 words
A method for discriminating a face comprising: an image pickup step of photographing an image by image pickup means; a face tracking step of tracking a face moved in an image photographed at said image pickup step; a face data detection step of detecting face data of said face in the image photographed at said image pickup step based on the face tracking information obtained at said face tracking step; a person identifying step of identifying a specified person based on said face data detected at said face data detection step; and a learning step for using a difference between registered face data previously obtained and face data detected by said face data detection step to acquire a learned difference value to establish a characteristic space by said learned difference value.
Claim 15
Independent Claim
131 words
A method for discriminating a face comprising: an image pickup step of photographing an image by image pickup means; a face tracking step of tracking a face moved in an image photographed at said image pickup step; a face data detection step of detecting face data of said face in the image photographed at said image pickup step based on the face tracking information obtained at said face tracking step; a person identifying step of identifying a specified person based on said face data detected at said face data detection step; and a learning step for using a difference between registered face data previously obtained and face data detected by said face data detection step to acquire a learned difference value to establish a characteristic space by said learned difference value.
Claim 16
Dependent Claim
19 words
The face discriminating method according to claim 13 wherein an autonomously acting robot apparatus owns said image pickup means.
Claim 17
Dependent Claim
148 words
An image discriminating apparatus comprising: registered face image storage means having a face image stored therein; image inputting means for being fed with a preset image from outside; face picture tracking means for tracking a face image fed from said image inputting means based on the color information; face detection means for detecting a face using a support vector machine for an estimated face position of said input face image calculated from tracked results by said face image tacking means; person identification means for identifying a person by comparing a face detected by said face detection means with a face image stored in said registered face image storage means; and learning means for using a difference between registered face data previously obtained and face data detected by said face data detection means to acquire a learned difference value to establish a characteristic space by said learned difference value.
Claim 18
Dependent Claim
148 words
An image discriminating apparatus comprising: registered face image storage means having a face image stored therein; image inputting means for being fed with a preset image from outside; face picture tracking means for tracking a face image fed from said image inputting means based on the color information; face detection means for detecting a face using a support vector machine for an estimated face position of said input face image calculated from tracked results by said face image tacking means; person identification means for identifying a person by comparing a face detected by said face detection means with a face image stored in said registered face image storage means; and learning means for using a difference between registered face data previously obtained and face data detected by said face data detection means to acquire a learned difference value to establish a characteristic space by said learned difference value.
Claim 19
Dependent Claim
151 words
An image discriminating method comprising: an image inputting step of being fed with a preset image from outside; a face image tracking step of tracking a face image fed at said image inputting step based on the color information; a face detection step of detecting a face using a support vector machine for an estimated face position of said input face image calculated from the result of tracking at said face image tracking step; and a person identifying step of identifying a person by comparing a face detected at said face detection step with a face image stored in said registered face image storage step in which the face image is stored; and a learning step for using a difference between said registered face data and face data detected by said face data detection step to acquire a learned difference value to establish a characteristic space by said learned difference value.
Claim 20
Dependent Claim
151 words
An image discriminating method comprising: an image inputting step of being fed with a preset image from outside; a face image tracking step of tracking a face image fed at said image inputting step based on the color information; a face detection step of detecting a face using a support vector machine for an estimated face position of said input face image calculated from the result of tracking at said face image tracking step; and a person identifying step of identifying a person by comparing a face detected at said face detection step with a face image stored in said registered face image storage step in which the face image is stored; and a learning step for using a difference between said registered face data and face data detected by said face data detection step to acquire a learned difference value to establish a characteristic space by said learned difference value.
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