IP Library › Granted Patent US 10,410,086
Granted Patent B2
US 10,410,086 · App. 15/676,848 · Granted Sep 10, 2019

Systems and methods of person recognition in video streams

Inventors: Akshay R. Bapat (Mountain View, CA); George Alban Heitz, III (Mountain View, CA); Rizwan Ahmed Chaudhry (Palo Alto, CA); Navneet Dalal (Atherton, CA); James Edward Stewart (Mountain View, CA); Jennifer Bush (Mountain View, CA); Joe Delone Venters (Alameda, CA); Kara Gates (Mountain View, CA); Timothy Butler (Mountain View, CA); Yohannes Kifle (San Carlos, CA); Anton Bastov (Mountain View, CA)
Assignee: GOOGLE LLC
G06K9/6218G06K9/00228G06K9/00268G06K9/00288G06K9/00362H04N5/23219
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Quick Facts
Patent No.
US 10,410,086
App. No.
15/676,848
Granted
Sep 10, 2019
Kind
B2
Abstract

The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, personally identifiable information of the detected person(s); (4) determining, based on the personally identifiable information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the personally identifiable information; and (b) requesting a user to classify the first person; and (6) in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received, or (ii) a determination that a response was received classifying the first person as a stranger, deleting the stored personally identifiable information.

Claims (69)

1. A method comprising:

at a computing system having one or more processors and memory:

obtaining a live video stream;

detecting one or more persons in the live video stream;

determining, from analysis of the live video stream, personally identifiable information that identifies a first person of the detected one or more persons;

determining, based on at least some of the personally identifiable information, that the first person is not a known person to the computing system;

in accordance with the determination that the first person is not a known person:

storing at least some of the personally identifiable information; and

requesting a user to classify the first person; and

in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received from the user, or (ii) a determination that a response was received from the user classifying the first person as a stranger, deleting the stored personally identifiable information.

2. The method of claim 1 , wherein determining the personally identifiable information comprises:

selecting one or images of the first person from the live video stream; and

characterizing a plurality of features of the first person based on the one or more images.

3. The method of claim 2 , further comprising:

identifying a pose of the first person in each of the one or more images; and

for each identified pose, in accordance with a determination that an image of the first person in the identified pose has not previously been stored, storing (i) the image of the first person in the identified pose, and (ii) corresponding pose information.

4. The method of claim 2 , wherein the plurality of features includes one or more features that can personally identify the first person.

5. The method of claim 2 , wherein the plurality of features includes one or more facial features of the first person.

6. The method of claim 1 , further comprising:

receiving, from the user, a designation that the first person is not a person; and

responsive to the designation, storing the designation in association with the personally identifiable information of the first person.

7. The method of claim 1 , further comprising, in accordance with the determination that the first person is not a known person, generating a timely notification of detection of an unknown person.

8. The method of claim 1 , further comprising:

detecting a second person in the live video stream;

characterizing a plurality of features of the second person based on one or more images of the second person in the live video stream; and

determining whether the second person is a same person as the first person by comparing the plurality of characterized features of the second person with the stored information regarding the plurality of characterized features of the first person.

9. A computing system comprising:

one or more processors; and

memory coupled to the one or more processors, the memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:

obtaining a live video stream;

detecting one or more persons in the live video stream;

determining, from analysis of the live video stream, personally identifiable information that identifies a first person of the detected one or more persons;

determining, based on at least some of the personally identifiable information, whether the first person is a known person to the computing system;

in accordance with a determination that the first person is not a known person:

storing at least some of the personally identifiable information; and

requesting a user to classify the first person; and

in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received from the user, or (ii) a determination that a response was received from the user classifying the first person as a stranger, deleting the stored personally identifiable information.

10. The system of claim 9 , wherein detecting the one or more persons comprises detecting the one or more persons within a first predefined threshold time.

11. The system of claim 9 , wherein the one or more programs further include instructions for comparing the personally identifiable information of the first person with stored personally identifiable information of one or more persons previously classified by the user; and

wherein determining that the first person is not a known person comprises determining that the personally identifiable information of the first person does not match, within a predetermined threshold, the stored personally identifiable information of the one or more persons previously classified by the user.

12. The system of claim 9 , wherein the one or more programs further include instructions for:

determining that the first person is a known person to the computing system; and

in accordance with the determination that the first person is a known person, forgoing requesting the user to classify the first person.

13. The system of claim 12 , wherein the one or more programs further include instructions for forgoing generating a timely notification in accordance with the determination that the first person is a known person.

14. The system of claim 12 , wherein the one or more programs further include instructions for generating a timely notification identifying the first person in accordance with the determination that the first person is a known person.

15. The system of claim 14 , wherein the one or more programs further include instructions for:

determining a location of the first person;

determining whether the first person has previously been authorized by the user to access the location; and

wherein generating the timely notification identifying the first person comprises generating the timely notification identifying the first person and the location in accordance with a determination that the first person has not previously been authorized to access the location.

16. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing system, cause the system to:

obtain a live video stream;

detect one or more persons in the live video stream;

determine, from analysis of the live video stream, personally identifiable information that identifies a first person of the detected one or more persons;

determine, based on at least some of the personally identifiable information, whether the first person is a known person to the computing system;

in accordance with a determination that the first person is not a known person:

store at least some of the personally identifiable information; and

request a user to classify the first person; and

in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received from the user, or (ii) a determination that a response was received from the user classifying the first person as a stranger, delete the stored personally identifiable information.

17. The non-transitory computer-readable storage medium of claim 16 , wherein the one or more programs further comprise instructions, which when executed by the computing system, cause the system to:

detect the first person by performing facial detection on a first frame in the live video stream; and

track the first person through time by analyzing a plurality of video frames in the live video stream, the plurality of video frames subsequent to the first frame.

18. The non-transitory computer-readable storage medium of claim 17 , wherein the one or more programs further comprise instructions, which when executed by the computing system, cause the system to:

for each video frame of the first frame and the plurality of video frames, determine an identification quality factor for the video frame;

select one or more video frames of the first frame and the plurality of video frames based on the determined identification quality factors; and

wherein determining the personally identifiable information comprises determining personally identifiable information based on an analysis of the selected one or more images.

19. The non-transitory computer-readable storage medium of claim 17 , wherein the one or more programs further comprise instructions, which when executed by the computing system, cause the system to:

determine an activity of the first person based on the tracking of the first person; and

send a notification with identification of the first person and the determined activity.

20. The non-transitory computer-readable storage medium of claim 16 , wherein the one or more programs further comprise instructions, which when executed by the computing system, cause the system to provide a notification to the first person in accordance with the determination that the first person is not a known person.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 13, 2018
From: KIFLE, YOHANNES; BASTOV, ANTON
To: GOOGLE LLC
Reel/Frame 045194/0943 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 13, 2018
From: KIFLE, YOHANNES; BASTOV, ANTON
To: GOOGLE LLC
Reel/Frame 045195/0112 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 9, 2018
From: BAPAT, AKSHAY R.; HEITZ, GEORGE ALBAN; CHAUDHRY, RIZWAN AHMED; DALAL, NAVNEET; STEWART, JAMES EDWARD; BUSH, JENNIFER; VENTERS, JOE DELONE; GATES, KARA; BUTLER, TIMOTHY
To: GOOGLE INC.
Reel/Frame 044578/0285 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 17, 2017
From: BAPAT, AKSHAY R.; HEITZ, GEORGE ALBAN; CHAUDHRY, RIZWAN AHMED; DALAL, NAVNEET; STEWART, JAMES EDWARD; BUSH, JENNIFER; VENTERS, JOE DELONE; GATES, KARA; BUTLER, TIM0THY
To: GOOGLE INC.
Reel/Frame 044415/0314 →
CHANGE OF NAME Recorded Oct 20, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044567/0001 →
Continuity (2)
Provisional Application 62512697 · May 30, 2017
Related Publication 20180349684A1 · Dec 6, 2018
Cited By (6)
US 12,253,605 US 12,300,030 US 12,347,201 US 12,542,874 US 12,664,818 US 12,682,013