Crowd Image Person Attribute Matching for Suspicious Person Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies struggle to efficiently 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 the reference attribute information and the extracted data, allowing for easy detection of desired individuals by comparing their attributes and actions with predefined criteria.
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 (gender, age, 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 are sufficient for suspicious person detection, thereby reducing processing difficulty while maintaining detection capability.
Solution Approach 2:
The patent applies different detection strategies to different regions or types of attribute information. By focusing on specific local attributes (such as clothing color matching reference information) rather than processing all biological data uniformly, the system achieves effective detection while reducing overall processing complexity.
2Productivity
If automatic detection techniques are implemented, then detection efficiency is improved, but the ability to detect desired persons in crowded places deteriorates
Solution Approach 1:
The patent performs preliminary action by pre-storing reference attribute information (gender, age, clothing color) of persons who should not be detected as suspicious in a database before actual detection. This allows the detection system to efficiently compare extracted attributes against pre-prepared reference data, achieving both high efficiency and accurate detection of desired persons without requiring complex real-time analysis of all crowd members.
3Measurement precision
If reference attribute information is used for detection, then detection accuracy is improved, but the complexity of the detection system increases
Solution Approach 1:
The patent creates a simplified copy of the detection problem by using reference attribute information that replicates the essential characteristics of persons of interest. Instead of processing complex biological data directly, the system compares extracted visual attributes against simplified reference copies, reducing computational complexity while maintaining detection accuracy.
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.


