Video Analysis Apparatus Dynamic Threshold Congestion
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Solution Overview
Problem
Existing video analysis techniques face challenges in accurately determining the movement or stop state of individuals in videos, especially when optimal camera settings cannot be achieved, and obtaining a reliable background image is difficult, leading to suboptimal analysis results.
Innovation Solution
A video analyzing apparatus that acquires images, determines the degree of congestion, and decides a threshold to accurately determine the moving state of persons based on the congestion level, using a system with a CPU, ROM, RAM, network control unit, display control unit, and operation control unit to process frame images and decide movement or stop states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional video analysis techniques are used to determine movement state, then the analysis can be performed, but the determination accuracy is insufficient especially in non-optimal camera settings and difficult environments
Solution Approach 1:
The patent changes the threshold parameter dynamically based on the congestion degree of persons in the video. Instead of using a fixed threshold for determining movement state, the system calculates the congestion degree (number of persons per unit area) and adjusts the threshold accordingly. This allows the analysis to adapt to different environmental conditions and maintain high accuracy even when camera settings are not optimal or background images are difficult to obtain.
2Measurement precision
If optimal camera settings are required for accurate video analysis, then the analysis precision can be improved, but the system cannot adapt to already recorded videos or live videos with fixed camera settings
Solution Approach 1:
The patent introduces dynamic adaptation by making the analysis threshold flexible rather than fixed. The system continuously monitors the congestion degree in the video and adjusts the movement detection threshold in real-time. This dynamic approach enables the system to handle various video sources including already recorded videos and live streams with fixed camera settings, eliminating the requirement for optimal pre-configuration of camera parameters.
3Measurement precision
If background image acquisition is required for movement detection, then the detection method can be implemented, but it is difficult to obtain reliable background images in all situations
Solution Approach 1:
The patent extracts the essential feature for movement detection - the congestion degree of persons - without requiring the complete background image acquisition process. By focusing on counting and positioning persons in the current video frames and calculating their density, the system achieves movement detection capability without needing to separate and store background images, thereby simplifying the implementation while maintaining detection accuracy.
Data Source
AI summary
This invention provides a video analyzing apparatus which comprises an acquisition unit configured to acquire an image captured by an image capturing unit, a determining unit configured to determine a degree of congestion of persons in the image captured by the image capturing unit, and a deciding unit configured to decide a threshold to be used to determine a moving state of a person in the image based on the degree of congestion determined by the determining unit.