Video Stream Erratic Behavior Detection Using Ambient Speed
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Solution Overview
Problem
Existing video surveillance systems struggle to automatically detect erratic behavior in unmonitored video streams due to limited display space and the need for early detection of potential issues.
Innovation Solution
A method using computing devices with processors to analyze video streams, determine movement speeds of objects, calculate average speeds, and compare them to ambient speeds to identify erratic behavior, triggering alerts when thresholds are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video streams are monitored by security personnel, then erratic behavior can be detected, but display space is limited and cannot show all streams simultaneously
Solution Approach 1:
The patent extracts the detection function from human operators and implements it through automated computing devices that analyze video streams using algorithms to detect erratic behavior patterns, eliminating the need for physical display of all streams while maintaining detection capability
Solution Approach 2:
The patent replaces the mechanical/visual monitoring system with an automated computational system that uses processors to analyze video data, detect motion patterns, and identify erratic behavior through algorithmic processing rather than human visual inspection
2Reliability
If video streams are archived for later review, then comprehensive footage is preserved, but early detection of problems is delayed
Solution Approach 1:
The patent implements preliminary detection by continuously analyzing video streams in real-time using automated algorithms that identify erratic behavior patterns as they occur, enabling early warning before situations escalate, while archived footage remains available for subsequent detailed review
3Reliability
If automated detection systems are implemented, then early detection of erratic behavior is achieved, but system complexity increases
Solution Approach 1:
The patent implements self-service detection where the system automatically analyzes video streams, detects erratic behavior patterns, and generates alerts without requiring complex manual configuration or intervention, with the computing devices autonomously performing detection and notification functions
Data Source
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AI summary
Erratic behavior of one or more people within a video stream may be ascertained by analyzing the video stream to detect one or more people and to determine a measure of size of each of the detected people. A movement speed of each of the detected people is determined, and is normalized with respect to the determined measure of size of that person. An average of the movement speeds of all of the detected people is determined. The average of the movement speeds of all of the detected people is compared to an ambient speed. A determination is made that erratic behavior exists when the average of the movement speeds exceeds the ambient speed by at least a threshold. When a determination is made that erratic behavior exists, an erratic movement alert is outputted