Methods and systems for person detection in a video feed

Patent metadata

Field	Value
Publication number	US-10657382-B2
Application number	US-201916460706-A
Country	US
Kind code	B2
Filing date	Jul 2, 2019
Priority date	Jul 11, 2016
Publication date	May 19, 2020
Grant date	May 19, 2020

Abstract

The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

First claim

What is claimed is:

1. A method, comprising:
at a computing system having one or more processors and memory:
obtaining a video feed; and
for a frame of the video feed, analyzing the frame at a first resolution to determine whether the frame includes a potential instance of a person;
in accordance with a determination that the frame includes the potential instance, denoting a region around the potential instance;
analyzing the region at a second resolution, greater than the first resolution; and
in accordance with a determination that the region includes the instance of the person:
determining that the frame includes the person; and
storing an indication of the determination for use in subsequent alert notification processing.

2. The method of claim 1 , wherein the video feed comprises a plurality of frames, the method further comprising, for each frame of the plurality of frames, assigning a confidence score to the frame.

3. The method of claim 2 , wherein the confidence score is based on the analysis of the frame at the first resolution.

4. The method of claim 2 , wherein the confidence score is based on the analysis of the region at the second resolution.

5. The method of claim 2 , wherein the video feed includes a motion event, and the method further comprises, in accordance with a determination that the confidence score for at least one frame of the plurality of frames exceeds a predetermined threshold, denoting the motion event as involving a person.

6. The method of claim 1 , wherein determining that the frame includes the potential instance of the person comprises:
detecting the potential instance of the person;
assigning a confidence score to the potential instance of the person; and
in accordance with a determination that the confidence score meets one or more predetermined criteria, determining that the frame includes the potential instance of the person.

7. The method of claim 1 , further comprising:
determining whether the region includes one or more persons other than the potential person; and
in accordance with a determination that the region includes the one or more other persons, denoting the frame as containing a person.

8. The method of claim 1 , wherein the video feed comprises a plurality of frames, the method further comprising:
determining that one or more frames of the plurality of images includes a person;
obtaining a second plurality of frames, the second plurality of frames preceding the motion event;
for each frame in the second plurality of frames, analyzing the frame to determine whether the image includes the person;
in accordance with a determination that one or more frames of the second plurality of frames do not include the person, denoting the motion event as involving the person; and
in accordance with a determination that one or more frames of the second plurality of frames include the person, forgoing denoting the motion event as involving the person.

9. The method of claim 1 , further comprising:
in accordance with a determination that the frame includes multiple potential instances of a person, denoting a region encompassing each potential instance; and
determining whether the region includes one or more instances of a person by analyzing the region at the second resolution, greater than the first resolution.

10. The method of claim 1 , further comprising:
for each frame in the plurality of frames, analyzing the frame to determine whether the frame includes a particular object, the analyzing including:
determining whether the frame includes a potential instance of the particular object by analyzing the frame at a first resolution;
in accordance with a determination that the frame includes a potential instance, denoting a region around the potential instance, wherein the area of the region is less than the area of the frame;
determining whether the region includes an instance of the particular object by analyzing the region at a second resolution, greater than the first resolution; and
in accordance with a determination that the region includes an instance of the particular object, determining that the frame includes the particular object.

11. The method of claim 1 , further comprising determining whether the motion event involves a person by analyzing one or more relationships between frames including persons of the plurality of frames.

12. 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 video feed; and
for a frame of the video feed, analyzing the frame at a first resolution to determine whether the frame includes a potential instance of a person:
in accordance with the determination that the frame includes the potential instance, denoting a region around the potential instance;
analyzing the region at a second resolution, greater than the first resolution; and
in accordance with a determination that the region includes the instance of the person:
determining that the frame includes the person; and
storing an indication of the determination for use in subsequent alert notification processing.

13. The computing system of claim 12 , wherein the video feed includes a plurality of frames, the one or more programs further include instructions for assigning a confidence score to each frame of the plurality of frames.

14. The computing system of claim 13 , wherein the video feed includes a motion event, and the one or more programs further include instructions for, in accordance with a determination that the confidence score for at least one frame of the plurality of frames exceeds a predetermined threshold, denoting the motion event as involving a person.

15. The computing system of claim 12 , wherein the instructions for determining that the frame includes the potential instance of the person comprises instructions for:
detecting the potential instance of the person;
assigning a confidence score to the potential instance of the person; and
in accordance with a determination that the confidence score meets one or more predetermined criteria, determining that the frame includes the potential instance of the person.

16. The computing system of claim 12 , wherein the video feed comprises a plurality of frames, the one or more programs further include instructions for:
determining that one or more frames of the plurality of images includes a person;
obtaining a second plurality of frames, the second plurality of frames preceding the motion event;
for each frame in the second plurality of frames, analyzing the frame to determine whether the frame includes the person;
in accordance with a determination that one or more frames of the second plurality of frames do not include the person, denoting the motion event as involving the person; and
in accordance with a determination that one or more frames of the second plurality of images include the person, forgoing denoting the motion event as involving the person.

17. 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 video feed; and
for a frame of the video feed, analyze the frame at a first resolution to determine whether the frame includes a potential instance of a person:
in accordance with the determination that the frame includes the potential instance, denote a re

Assignees

• Google Llc

Inventors

• Chaudhry Rizwan Ahmed
• Dalal Navneet
• Ben-Meshulam Jonathan Z
• Heitz Iii George Alban

Classifications

• G06T7/246

  using feature-based methods, e.g. the tracking of corners or segments · CPC title

• G06T2207/10016

  Video; Image sequence · CPC title

• G06T2207/20016

  Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform · CPC title

• G06T2207/30196

  Human being; Person · CPC title

• H04N7/18

  Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast · CPC title