Reference Attribute Matching for Person Detection in Crowds
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Solution Overview
Problem
Existing technologies struggle to easily detect a desired person, such as a suspicious individual, in crowded places due to the difficulty in processing biological data from a large number of unspecified individuals, leading to missed detections.
Innovation Solution
An information processing device that includes a storage means for reference attribute information, an extraction means to extract person attribute information from captured images, and a detection means to identify a predetermined person based on this information, allowing for easy detection of desired individuals by comparing their attributes with pre-defined reference data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biological data of persons are collected to detect suspicious persons, then detection capability is improved, but the difficulty in detecting biological data from a large number of unspecified persons increases
Solution Approach 1:
The patent extracts only the necessary attribute information (age, gender, clothing color) from the complex biological data of persons in the crowd. Instead of processing complete biological data for all individuals, the system selectively extracts specific visual attributes that can be easily obtained from images, thereby reducing the difficulty of data collection while maintaining detection capability.
Solution Approach 2:
The patent segments the detection task into two stages: first extracting attribute information from persons in the crowd, then comparing these attributes against reference data to identify suspicious persons. This segmentation allows the system to handle large numbers of unspecified persons by processing only the necessary attribute information rather than complete biological data.
2Productivity
If automatic detection techniques are implemented, then detection efficiency is improved, but the ability to distinguish between desired and undesired persons in crowded places deteriorates
Solution Approach 1:
The patent performs preliminary action by pre-storing reference attribute information representing the characteristics of persons who should be detected in the target place. This reference data is prepared in advance, allowing the system to efficiently compare extracted attributes against pre-defined criteria and accurately distinguish between desired and undesired persons without requiring complex real-time analysis.
Solution Approach 2:
The patent changes the parameters for detection from complete biological data to specific visual attributes (age, gender, clothing color). By transforming the detection task into comparing these simplified visual attributes against reference data, the system achieves both high detection efficiency and accurate person identification in crowded places.
Data Source
AI summary
An information processing device according to the present invention includes: a storage means that stores reference attribute information representing an attribute of a person corresponding to a target place; an extraction means that extracts person attribute information representing an attribute of a person in a captured image obtained by capturing an image of the target place; and a detection means that detects a predetermined person in the captured image based on the reference attribute information and the person attribute information.