System and method for real-time multi-person threat tracking and re-identification
Abstract
A system and method of at using all CCTV cameras simultaneously to find any person of interest in real time and alert security to their location. The person of interest may be manually selected by the user or automatically by computer software and algorithms. In a preferred embodiment, security officers or threat detection system users (i.e., security team) confirms they want to track perpetrator or people in a video feed scene. The user would select these person(s) of interest whereby the system is triggered to begin tracking the person(s) of interest. The system will then present the feeds of the location of the person of interest is located in, in order to allow the security team to track and catch the person(s) of interest.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A system for using images obtained simultaneously in a location to identify a person of interest in real-time comprising:
an image detection system to capture sequential images; a computer processor to process the video images; a software module to analyze frames of the video images; and a means to identify a person of interest; and a notification module to send a notification; wherein the notification module sends the notification to a security User Interface to provide confirmation of tracking the person of interest in a video feed scene; wherein upon confirmation through the User Interface that continued tracking of the person of interest is desired, enabling the system to continuously track the person of interest in each monitored view of video feed scene.
2 . The system of claim 1 wherein the camera detection system further comprises elements selected from the following: CCTV cameras an optical video image, infrared image, LIDAR image, doppler image, an image based on RF scanning, a magnetic signature image, thermal image, or a multiple image composed of combinations of these imaging technologies.
3 . The system of claim 1 wherein the means to identify person of interest is done manually by user or automatically by computer software.
4 . The system of claim 3 wherein the computer software further comprises software algorithms.
5 . The system of claim 4 wherein the software algorithms is executed only if there is a notification event for which the person of interest alert is triggered.
6 . The system of claim 5 wherein the notification event is selected from a list consisting of detection of a weapon, pulling out a weapon, high velocity movements associated with fighting or escaping, abandonment of parcels, participation in unusual crowd activity such as threatening or fighting, throwing objects, proximity to sensitive areas such as restricted access doors, and entering restricted areas.
7 . The system of claim 1 wherein the notification module includes sending email, text message (SMS), instant message, voice call, security center user interface and mobile application.
8 . The system of claim 1 wherein the security monitoring system includes a user interface that can be monitored by security officer(s) or a threat detection system.
9 . A computer-implemented method for using CCTV cameras simultaneously to find person of interest in real-time, the method comprising the steps of:
receiving an image dataset from one or more camera detection systems; analyzing image frames of the video dataset by a computer processor; identifying a person of interest in the video dataset image frames; sending a notification via a User Interface; receiving a confirmation from the User Interface to track one or more persons of interest in a video feed scenes; and enabling the system to continuously track the one or more persons of interest in the video feed scenes.
10 . The method of claim 9 wherein the camera detection system further comprises elements selected from the following: CCTV cameras, an optical video image, infrared image, LIDAR image, doppler image, an image based on RF scanning, a magnetic signature image, thermal image, or a multiple image composed of combinations of these imaging technologies
11 . The method of claim 9 wherein the step of identifying a person of interest is conducted manually by a user or automatically through supplemental computer software.
12 . The method of claim 11 wherein the computer software further comprises software algorithms.
13 . The method of claim 12 wherein the software algorithms is executed only if there is a notification event for which the person of interest alert is triggered.
14 . The method of claim 13 wherein the notification event is selected from a list consisting of detection of a weapon, pulling out a weapon, high velocity movements associated with fighting or escaping, abandonment of parcels, participation in unusual crowd activity such as threatening or fighting, throwing objects, proximity to sensitive areas such as restricted access doors, and entering restricted areas.
15 . The method of claim 9 wherein the notification module includes sending email, text message (SMS), instant message, voice call, security center user interface and mobile application.
16 . The system of claim 9 wherein the security team includes a security officer(s) or threat detection system.Join the waitlist — get patent alerts
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