Spectator Head Orientation Detection for Crowd Incident Alerts
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Solution Overview
Problem
Existing crowd safety management systems in seated spectator environments, such as stadiums, lack automated methods to detect potential incidents early and efficiently, relying heavily on manual operations and lacking real-time response capabilities.
Innovation Solution
An automated method that estimates head orientations of spectators to identify areas of collective attention within a crowd, generating signals for potential incidents by analyzing head orientations and transmitting geographic coordinates for rapid intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring with motorized cameras is used to detect incidents in spectator stands, then operator control and flexibility are maintained, but response time is slow and detection efficiency is low
Solution Approach 1:
The patent replaces the mechanical manual monitoring system with an automated computer vision system using machine learning algorithms. The system automatically detects spectator head orientations and identifies areas of collective attention, eliminating the need for manual camera operation and significantly reducing detection time while maintaining high reliability through automated analysis of crowd behavior patterns.
Solution Approach 2:
The system enables self-service monitoring by allowing the crowd's collective attention patterns to automatically signal potential incidents. When multiple spectators orient their heads toward the same area, the system autonomously identifies this as a potential incident without requiring operator intervention, making the monitoring system self-regulating and responsive.
2Productivity
If automated computer vision algorithms are implemented to detect incidents, then response time is reduced and detection efficiency is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent extracts and isolates the critical feature for incident detection - head orientation of spectators - from the complex task of monitoring entire crowd behavior. By focusing computational resources on detecting and analyzing head orientations rather than processing all visual data, the system achieves high detection efficiency with reduced computational complexity and simpler algorithmic requirements.
Solution Approach 2:
The system applies local quality analysis by examining head orientations in specific local areas or neighborhoods within the spectator stand rather than analyzing the entire crowd uniformly. This localized approach allows the system to efficiently identify areas of collective attention and potential incidents with lower computational requirements while maintaining high detection accuracy in critical zones.
3Measurement precision
If head orientation estimation is used to identify areas of collective attention, then incident detection accuracy is improved through collective intelligence, but measurement precision requirements increase
Solution Approach 1:
The patent merges individual head orientation measurements from multiple spectators to create a collective intelligence signal. By combining and analyzing the aggregated orientation data from many individuals, the system identifies areas where collective attention converges, significantly improving incident detection reliability through the statistical power of crowd behavior patterns while managing measurement precision requirements through ensemble analysis.
Data Source
AI summary
A method of processing image data is proposed for a space where spectators are gathered, for example in a stand of a stadium. The processing includes: estimating, in a current neighborhood of spectators in the image, the respective head orientations of spectators in the neighborhood; and detecting, at least on the basis of the estimated head orientations, whether the heads are oriented towards an area of the space, in order to generate, if appropriate, a signal including data concerning the area as an area of attention for spectators in the space.