Registered-Person Video Analytics for Stalking Threat Detection
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Solution Overview
Problem
Individuals in public settings may be followed for various reasons, necessitating the ability to identify and mitigate potential dangers through situational awareness alerts.
Innovation Solution
A system and method utilizing video analytics to detect registered individuals entering a monitored area, assess environmental and geospatial parameters, and analyze camera footage to identify potential threats, generating alerts to mobile devices when predefined situational awareness thresholds are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video analytics are employed to analyze camera footage and identify potential threats, then the ability to detect stalking or threatening situations is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the monitoring task into distinct functional modules: video capture module, video analytics engine, threshold evaluation module, and alert generation module. Each module performs a specific function, making the overall complex system manageable and maintainable while achieving high detection accuracy through specialized processing at each stage.
Solution Approach 2:
The patent introduces intermediate components such as the video analytics engine that acts as a mediator between raw camera footage and the decision-making logic. This intermediary processes video data using multiple analytics types (object detection, tracking, behavior analysis) and transforms unstructured video data into structured information that can be evaluated against thresholds, reducing the complexity of direct threat detection.
2Measurement precision
If multiple video analytics types are used to assess situational awareness, then the precision of threat detection is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously capturing and pre-processing video footage even before a specific threat is detected. Camera footage is continuously recorded and basic video analytics are performed in advance, so when a potential threat situation arises, the system already has processed data available, reducing the time needed for analysis while maintaining high detection precision through multiple analytics types.
Solution Approach 2:
The system implements periodic evaluation of situational awareness thresholds at defined intervals rather than continuously analyzing every frame. This periodic action allows multiple video analytics types to be applied systematically at regular intervals, maintaining high detection precision while managing processing time through structured, time-based analysis cycles.
Data Source
AI summary
A method and system for employing video analytics in providing a situational awareness alert is disclosed. The method includes automatically detecting that a first person has entered a coverage area of a security camera. The method also includes automatically determining that the first person is registered in a monitoring service associated with the coverage area. The method also includes determining that a plurality of environmental and geospatial parameters associated with the coverage area satisfy a situational awareness threshold applicable to the first person. In response to the situational awareness threshold being satisfied, video analytics is employed to analyze video captured by security camera(s) to determine that there exists a second person having a respective Point Of View (POV) that permits staring observation of the first person by the second person.