Event Detector for Video Surveillance Clutter
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Solution Overview
Problem
Operators monitoring multiple video surveillance feeds for extended periods face decreased attention to detail due to lack of change, leading to reduced detection, recognition, and identification capabilities, as existing systems fail to leverage the human observer's image-processing abilities effectively.
Innovation Solution
A system and method utilizing a digital signal processor to detect real-time changes in images by generating differential signals based on average and peak pixel values, highlighting regions-of-interest, and optimizing image display to cue the operator on changes, thereby enhancing attention and reducing the need for constant monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operators view multiple monitors for extended periods to detect changes, then detection capability is maintained, but operator attention and detection rates decrease over time
Solution Approach 1:
The patent introduces an automated change detection system that acts as an intermediary between the surveillance feeds and the operator. The system processes video feeds, detects changes using algorithms, and presents only relevant changes to the operator, eliminating the need for continuous manual monitoring while maintaining high detection reliability
Solution Approach 2:
The patent replaces the mechanical human monitoring process with an automated computational system. Instead of relying on human operators to continuously watch multiple monitors, the system uses automated change detection algorithms to monitor all feeds simultaneously, preventing fatigue while maintaining or improving detection capability
2Measurement precision
If operators focus on one changing scene at a time, then detailed analysis is possible, but they may miss true targets in other static scenes
Solution Approach 1:
The automated change detection system serves as an intermediary that simultaneously monitors all surveillance feeds across multiple scenes. It identifies changes in all scenes concurrently and presents them to the operator in an organized manner, ensuring that true targets in any scene are detected while allowing the operator to focus detailed analysis on each change individually
3Reliability
If the system processes and displays all changes across multiple monitors, then comprehensive monitoring is achieved, but operator cognitive load increases
Solution Approach 1:
The patent segments the monitoring task by organizing changes from multiple scenes in a structured display format. The system divides the comprehensive monitoring task into manageable segments, presenting changes from different scenes in an organized manner that reduces operator cognitive load while maintaining complete monitoring coverage
Solution Approach 2:
The automated system acts as an intermediary that filters and organizes changes before presenting them to the operator. It processes all changes comprehensively, then structures the information to reduce cognitive load, acting as a buffer between the complex multi-scene monitoring task and the operator's cognitive processing
Data Source
AI summary
A system and method for displaying a plurality of images. In one embodiment, the system includes: (1) an event detector configured to detect at least one true target in the plurality of images using a threshold based on average and peak pixel values, (2) an image processor configured to define at least one corresponding region-of-interest for the at least one true target, (3) at least one display configured to display the plurality of images on at least one display and (4) a region-of-interest display separate from the at least one display and configured to display the at least one region-of-interest.