Abnormality Detection via Multi-Person State Change Analysis
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Solution Overview
Problem
Current systems are unable to comprehensively detect various abnormal states in monitoring environments, such as parks, which may include neglected objects, suspicious persons, equipment breakage, or accidents, as they are designed for specific types of abnormalities rather than general detection.
Innovation Solution
An image processing device and method that detect target state changes in individuals using input images, determining abnormal states based on occurrences of these changes across multiple persons, allowing for comprehensive detection of various abnormal states without being restricted to specific types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a different system with a specific algorithm is used for each individual abnormal state to be detected, then the detection accuracy for that specific abnormal state is improved, but the device complexity increases and the ability to comprehensively detect various abnormal states deteriorates
Solution Approach 1:
The patent applies universality by creating a single monitoring system that can detect multiple types of abnormal states (neglected objects, suspicious persons, accidents, equipment breakage) using one unified algorithm rather than requiring separate specialized systems for each abnormal state type.
Solution Approach 2:
The patent segments the detection process into distinct analysis steps: extracting behavior characteristics from images, comparing against reference data, and identifying abnormal patterns. This segmentation allows the system to handle diverse abnormal states through a structured multi-stage approach.
2Measurement precision
If a different system with a specific algorithm is used for each individual abnormal state to be detected, then the detection accuracy for that specific abnormal state is improved, but the ease of operation deteriorates
Solution Approach 1:
The unified monitoring system provides ease of operation by consolidating multiple detection functions into a single system that automatically adapts to detect different abnormal states without requiring separate system configurations or specialized operational procedures for each type.
3Adaptability or versatility
If multiple types of abnormal state are detected comprehensively, then the adaptability of the system is improved, but the device complexity increases
Solution Approach 1:
The system achieves comprehensive detection versatility by designing a unified algorithm capable of identifying multiple abnormal state types (neglected objects, suspicious persons, accidents, equipment breakage) through a single monitoring framework, eliminating the need for multiple specialized systems.
Solution Approach 2:
The patent utilizes parameter changes by analyzing variations in behavior characteristics extracted from images over time. The system detects abnormal states by identifying significant changes in extracted parameters such as object position, motion patterns, and behavioral features compared to reference data.
Data Source
AI summary
An image processing device (100) includes a change detection unit (101) that detects a target state change in a person on the basis of an input image, and a determination unit (102) that determines an abnormal state in accordance with a detection obtained by detecting occurrences of the target state change in a plurality of persons.