Image Analysis Apparatus for Person Counting by Appearance Attributes
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Solution Overview
Problem
Existing image analysis systems fail to effectively utilize the attributes of individuals in images for counting purposes, as they do not provide methods for utilizing person attribute information or analyzing image results across multiple images.
Innovation Solution
An image analysis apparatus and method that acquires analysis information including appearance attributes from still images, counts the number of individuals belonging to each attribute, and generates counting information in units of still images or multiple images, utilizing multiple engines for analysis such as object detection, face analysis, and pose estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing image analysis systems only detect objects without utilizing appearance attributes, then the system complexity is low, but the information utilization efficiency is poor
Solution Approach 1:
The patent segments the image analysis process into distinct functional modules: object detection unit, face recognition unit, attribute analysis unit, and counting unit. Each module processes specific aspects (object detection, face identification, attribute extraction) and passes results to the next module, enabling comprehensive information utilization while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The system implements multi-functionality by integrating multiple analysis capabilities into a single unified platform that performs object detection, face recognition, attribute analysis (gender, age, clothing), and counting operations simultaneously, maximizing information extraction from input images without requiring separate specialized systems
2Measurement precision
If the system analyzes only basic object detection without appearance attributes, then the processing speed is fast, but the counting precision by category is low
Solution Approach 1:
The system performs preliminary object detection and face recognition before detailed attribute analysis. The object detection unit first identifies potential targets, then the face recognition unit pre-processes facial regions, and only then does the attribute analysis unit perform detailed classification. This preliminary action framework ensures high counting precision while optimizing processing speed by avoiding full analysis of all image regions
3Loss of information
If the system processes images without generating category-specific counting information, then the operation simplicity is high, but the data utilization value is low
Solution Approach 1:
The counting unit segments the final output into category-specific counting information (e.g., counts by gender, age group, clothing type) rather than providing only a total count. This segmentation of information maximizes data utilization value by enabling multiple analytical perspectives from the same image set while maintaining operational simplicity through automated generation of all categories
Solution Approach 2:
The system provides feedback by generating comprehensive counting information that can be used for further analysis and decision-making. The category-specific counts serve as feedback data that reveals patterns and insights about the imaged场景, increasing the practical value of the processed information while the automated process maintains operational simplicity
Data Source
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AI summary
To utilize a result of image analysis, an image analysis apparatus 100 includes an analysis result acquisition unit 110 and a counting unit 111. The analysis result acquisition unit 110 acquires analysis information being information acquired by analyzing a still image and including an appearance attribute to which a person included in the still image belongs. The counting unit 111 counts, for each appearance attribute, the number of persons belonging to the appearance attribute in the still image by using the analysis information, and generates counting information indicating a result of the counting in units of still images.