Crowd-based video identification and analytical recognition system

• US 10,078,787 B2
• Filed: 06/03/2016
• Issued: 09/18/2018
• Est. Priority Date: 04/19/2013
• Status: Active Grant

• Current Assignee: James Carey
• Original Assignee: James Carey
• Inventors: Carey, James
• Primary Examiner(s): Torrente, Richard
• Application Number:
  US15/172,902
• Publication Number:
  US 20160283799A1
• Time in Patent Office: 837 Days
• Field of Search: 348143
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30232 Surveillance
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 20/53 Recognition of crowd images, e.g. recognition of crowd congestion
• CPC Class Codes: G08B 13/19608 Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
• CPC Class Codes: G08B 13/19613 Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion

Abstract

An analytical recognition system includes one or more video cameras configured to capture video and a video analytics module configured to perform real-time video processing and analyzation of the captured video and generate non-video data. The video analytic module includes one or more algorithms configured to identify an abnormal situation. Each abnormal situation alerts the video analytics module to automatically issue an alert and track one or more objects or individuals by utilizing the one or more video cameras. The abnormal situation is selected from the group consisting of action of a particular individual, non-action of a particular individual, a temporal event, and an externally generated event.

Claims

1. An analytical recognition system, comprising:

at least one video camera configured to capture a video sequence of a physical space; and

a video analytics module configured to perform real-time video processing and analysis to;

determine a crowd parameter by automated processing of the video sequence of the physical space;

implement at least one algorithm configured to determine a rate of change in the crowd parameter and provide a vector indicating the facial direction of one or more individuals;

obtain a threshold based on a prior value of the crowd parameter associated with the physical space during a prior time period; and

automatically issue an alert in response to the rate of change in the crowd parameter exceeding the threshold,

wherein the rate of change in the crowd parameter is indicative of crowd convergence or divergence.

2. The analytical recognition system according to claim 1, wherein the crowd parameter is a real-time crowd count.

3. The analytical recognition system according to claim 1, wherein the crowd parameter is a real-time crowd density estimation.

4. The analytical recognition system according to claim 1, wherein the crowd parameter includes at least one of an arrival velocity or a departure velocity of individuals at the physical location.

5. The analytical recognition system according to claim 1, wherein when the rate of change in the crowd parameter is indicative of crowd convergence, the video analytics module alerts security of a potential flash mob or gang robbery.

6. The analytical recognition system according to claim 5, wherein the video analytics module is connected to an array of cameras organized in a network and wherein upon issuance of an alert each camera in the network is utilized to track one or more objects or individuals.

7. The analytical recognition system according to claim 1, wherein when the rate of change in the crowd parameter is indicative of crowd divergence, the video analytics module alerts security of a potentially hazardous situation or criminal activity.

8. The analytical recognition system according to claim 7, wherein the video analytics module is connected to an array of cameras organized in a network and wherein upon issuance of an alert each camera in the network is utilized to track one or more objects or individuals.