# US 2019/0174102 A1 · Systems and methods for automatic video recording

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 2019/0174102 A1
- Document ID: US20190174102A1
- Status: Published application
- Kind: A1
- Application number: 15/833,613
- Filed: 2017-12-06
- Published: 2019-06-06
- Earliest claimed: 2017-12-06
- Assignees: Honeywell International Inc.
- Applicants: Honeywell International Inc.
- Inventors: Xiaozhi Cui; YunBin Chen; Tao Song
- Web page: https://patentgrep.com/patent/US20190174102A1

## CPC

- H04N 7/188: {Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position (signal generation from motion picture films H04N5/253)}
- G08B 13/19613: {Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion}
- H04N 5/77: between a recording apparatus and a television camera
- H04N 7/18: Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N 7/183: {for receiving images from a single remote source}
- G06V 20/52: Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69)
- G06V 40/20: Movements or behaviour, e.g. gesture recognition (recognition of facial expressions G06V40/16)
- G08B 13/19669: {Event triggers storage or change of storage policy}
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION
- G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

## Abstract

Systems and methods for automatically triggering a video recording in response to detecting a predetermined condition or a security event are provided. Some methods can include receiving a video data stream from a surveillance camera, analyzing the video data stream to determine whether an individual depicted within the video data stream exhibits fear or duress, and automatically storing the video data stream in response to detecting that the individual depicted within the video data stream exhibits the fear or the duress.

## Claims

### Claim 1

A method comprising:
receiving a video data stream from a surveillance camera;
analyzing the video data stream to determine whether an individual depicted within the video data stream exhibits fear or duress; and
automatically storing the video data stream in response to detecting that the individual depicted within the video data stream exhibits the fear or the duress.

### Claim 2 (depends on 1)

The method of claim 1 wherein determining whether the individual depicted within the video data stream exhibits the fear or the duress includes detecting a frightened facial expression exhibited by the individual.

### Claim 3 (depends on 2)

The method of claim 2 wherein detecting the frightened facial expression exhibited by the individual includes comparing a first image of a face of the individual to a template.

### Claim 4 (depends on 3)

The method of claim 3 further comprising:
receiving a plurality of second images of one or more frightened individuals; and
generating the template by determining facial feature sizes and facial feature locations of the one or more frightened individuals in the plurality of second images.

### Claim 5 (depends on 2)

The method of claim 2 wherein detecting the frightened facial expression exhibited by the individual includes comparing a first image of a face of the individual to a second image of a frightened person.

### Claim 6 (depends on 1)

The method of claim 1 wherein determining whether the individual depicted within the video data stream exhibits the fear or the duress includes detecting whether a body position or a body movement of the individual indicates the fear or the duress.

### Claim 7 (depends on 6)

The method of claim 6 wherein detecting whether the body position or the body movement of the individual indicates the fear or the distress includes detecting whether both hands of the individual have been raised for a predetermined period of time.

### Claim 8 (depends on 6)

The method of claim 6 wherein detecting whether the body position or the body movement of the individual indicates the fear or the distress includes detecting whether the individual is lying motionless for a predetermined period of time.

### Claim 9 (depends on 6)

The method of claim 6 wherein detecting whether the body position or the body movement of the individual indicates the fear or the distress comprises detecting whether the individual is kneeling.

### Claim 10 (depends on 1)

The method of claim 1 further comprising triggering a silent alarm in response to detecting that the individual depicted within the video data stream exhibits the fear or the duress.

### Claim 11

A system comprising:
a surveillance camera;
a transceiver device;
a programmable processor; and
executable control software stored on a non-transitory computer readable medium,
wherein the transceiver device receives a video data stream from a surveillance camera,
wherein the programmable processor and the executable control software analyze the video data stream to determine whether an individual depicted within the video data stream exhibits fear or duress, and
wherein the programmable processor and the executable control software automatically store the video data stream on the non-transitory computer readable medium in response to detecting that the individual depicted within the video data stream exhibits the fear or the duress.

### Claim 12 (depends on 11)

The system of claim 11 wherein the programmable processor and the executable control software detect a frightened facial expression exhibited by the individual to determine whether the individual within the video data stream exhibits the fear or the duress.

### Claim 13 (depends on 12)

The system of claim 12 wherein the programmable processor and the executable control software compare a first image of a face of the individual to a template to detect the frightened facial expression exhibited by the individual.

### Claim 14 (depends on 13)

The system of claim 13 wherein the programmable processor and the executable control software receive a plurality of second images of one or more frightened individuals and generate the template by determining facial feature sizes and facial feature locations of the one or more frightened individuals in the plurality of second images.

### Claim 15 (depends on 12)

The system of claim 12 wherein the programmable processor and the executable control software compare a first image of a face of the individual to a second image of a frightened person to detect the frightened facial expression exhibited by the individual.

### Claim 16 (depends on 11)

The system of claim 11 wherein the programmable processor and the executable control software detect whether a body position or a body movement of the individual indicates the fear or the duress to determine whether the individual within the video data stream exhibits the fear or the duress.

### Claim 17 (depends on 16)

The system of claim 16 wherein the programmable processor and the executable control software detect whether both hands of the individual have been raised for a predetermined period of time to detect whether the body position or the body movement of the individual indicates the fear or the distress.

### Claim 18 (depends on 16)

The system of claim 16 wherein the programmable processor and the executable control software detect whether the individual is lying motionless for a predetermined period of time to detect whether the body position or the body movement of the individual indicates the fear or the distress.

### Claim 19 (depends on 16)

The system of claim 16 wherein the programmable processor and the executable control software detect whether the individual is kneeling to detect whether the body position or the body movement of the individual indicates the fear or the distress.

### Claim 20 (depends on 19)

The system of claim 19 wherein the programmable processor and the executable control software trigger a silent alarm in response to detecting that the individual within the video data stream exhibits the fear or the duress.
