Video Surveillance Incident Alerting via Feature Quantity Segmentation
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Solution Overview
Problem
Conventional video surveillance systems burden security officers with unnecessary alerts for various incidents, leading to potential oversights and delays in response, as they are limited to manual judgment based on displayed information and images.
Innovation Solution
A video surveillance system that detects incidents in a surveillance area using image analysis to calculate incident feature quantities and determine the type and accuracy of incidents, thereby automatically alerting appropriate subjects such as on-site staff or security guards based on preset surveillance standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all incidents are notified to the surveillance officer, then complete incident coverage is achieved, but the burden on the surveillance officer increases
Solution Approach 1:
The notification process is segmented by incident type and determination accuracy. Different incident categories (hand-over acts, irregular movements, climbing acts) are processed through different notification pathways based on their accuracy levels, dividing the monolithic notification task into manageable segments that reduce overall burden while maintaining coverage
Solution Approach 2:
Different notification methods are applied to different incident types and accuracy levels. High-accuracy critical incidents receive immediate automated notifications to specific subjects, while lower-accuracy or less critical incidents are handled through different channels, optimizing the notification quality for each specific case rather than using a uniform approach
2Ease of operation
If manual judgment is used for incident notification, then flexibility in decision-making is maintained, but response time is delayed
Solution Approach 1:
The system performs preliminary automated analysis of incident determination accuracy and type classification before notification. By pre-processing the decision-making work through automated accuracy calculation and incident categorization, the system prepares notification recommendations in advance, reducing the time required for manual judgment while maintaining decision flexibility
Solution Approach 2:
The system provides feedback to surveillance officers with automated determination results, accuracy levels, and incident type classifications. This feedback mechanism enables officers to make informed decisions more quickly by presenting them with pre-analyzed information, combining automated speed with human judgment flexibility
3Productivity
If automated incident detection is implemented, then response efficiency is improved, but system complexity increases
Solution Approach 1:
The video analysis system performs multiple functions including incident detection, determination accuracy calculation, incident type classification, and notification subject determination. By making a single system perform all these functions universally, the patent avoids the need for separate specialized systems for each function, managing complexity while maintaining high response efficiency
Data Source
AI summary
An efficient alert process is realized and effectiveness of surveillance is improved when surveilling various incidents that occur within a surveillance area. In a video surveillance system for detecting a plurality of incidents in a surveillance area using a video that captured the surveillance area, provided are a calculation unit which detects an image of a person and/or an object from the video, and calculates an incident feature quantity as a feature quantity representing a status of a detected person and/or a feature quantity of a detected object, and a determination unit which detects an occurrence of the incident based on the incident feature quantity, and determines subjects to be alerted of an occurred incident, which is a detected incident, from a type of the occurred incident and a determination accuracy of the occurred incident.