Video Person Flow Tracking With Target Features on Low-Cost Hardware
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Solution Overview
Problem
Existing person flow analysis methods require high computational resources and hardware capabilities, making them unsuitable for low-cost scenarios with limited hardware.
Innovation Solution
A person flow analysis method and system that identifies and tracks target features of persons in video images, using positioning lines to determine movement states and generate person flow data, reducing the need for comprehensive feature analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive feature analysis is performed to identify and track persons in video images, then person flow analysis accuracy is improved, but computational requirements and hardware demands increase
Solution Approach 1:
The patent extracts and focuses on specific target features (such as head regions) of persons in video images rather than performing comprehensive feature analysis. By selecting only the most distinctive and easily identifiable features for tracking, the system achieves accurate person flow analysis while significantly reducing computational requirements and making the solution suitable for low-cost hardware environments.
2Measurement precision
If comprehensive feature analysis is performed to identify and track persons in video images, then person flow analysis accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts and focuses on specific target features (such as head regions) of persons in video images rather than performing comprehensive feature analysis. By selecting only the most distinctive and easily identifiable features for tracking, the system achieves accurate person flow analysis while significantly reducing computational requirements and making the solution suitable for low-cost hardware environments.
Data Source
AI summary
The present disclosure provides a person flow analysis method and system, an electronic device, and a readable storage medium. The method includes: obtaining a video image of a target area; identifying and tracking target features of persons in the video image; generating person flow data for the target area according to movement states of the target features of the persons relative to a specific position in the target area. By identifying and monitoring the target features in the video images of the target area, it does not need to analyze and identify all features of the persons, thereby reducing the amount of calculation and increasing the scope of application. By analyzing a movement state of the target feature relative to the specific position, movement mode of a user in the target area can be obtained, thereby improving accuracy of analysis of the person flow in the target area.