Object Detection System Using Distributed Camera Segmentation
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Solution Overview
Problem
Existing object detection systems struggle to track moving objects over a wide range with high accuracy and processing speed, as they require multiple cameras installed in the same location, which is impractical and limits recognition processing speed and accuracy.
Innovation Solution
An object detection system that uses a network of cameras positioned differently to acquire movement information, determine a limited search range, and perform object recognition within that range, allowing for efficient tracking of moving objects across a wide area without increasing the number of cameras at a single location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras are installed in the same location to improve tracking accuracy, then the accuracy of object recognition is improved, but the coverage range is limited and the processing speed is reduced
Solution Approach 1:
The system segments the monitoring area into multiple zones, each covered by a single camera. Instead of using multiple cameras at one location to track the same object, the patent divides the wide area into regions and assigns different cameras to different regions, enabling parallel processing and maintaining both accuracy and speed
Solution Approach 2:
The patent transitions from a single-location multi-camera setup to a multi-location single-camera setup, changing the spatial dimension of camera deployment. This allows the system to cover a wide area while maintaining processing efficiency through distributed camera positions
2Measurement precision
If multiple cameras are installed in the same location to improve tracking accuracy, then the accuracy of object recognition is improved, but the device complexity and installation requirements increase
Solution Approach 1:
The system segments the monitoring function across multiple locations rather than concentrating multiple cameras at one site. Each camera independently monitors its designated area, simplifying installation while maintaining overall system accuracy through distributed detection
Solution Approach 2:
Each camera is designed to perform multiple functions: detecting objects within its zone, determining movement information, and providing data for search range determination. This multi-functionality reduces the need for specialized equipment at each location
3Productivity
If the search range is reduced to improve processing speed, then the processing speed is improved, but the coverage range is limited
Solution Approach 1:
The patent segments the total coverage area into multiple smaller zones, each with a limited search range. By distributing these segmented zones across different camera locations, the system achieves both fast processing within each zone and wide overall coverage
Solution Approach 2:
The system expands coverage in the horizontal dimension by placing cameras at different locations rather than expanding vertically with multiple cameras at one site. This allows limited search ranges to collectively cover a wide area
Data Source
AI summary
An object detection system capable of tracking a moving object over a wide range, at a high processing speed, and with a high accuracy of recognition without increasing the number of image capturing apparatuses installed in one place is provided. A movement information acquisition unit acquires movement information, which is information regarding a moving object included in a first image captured by a first image capturing apparatus among a plurality of image capturing apparatuses arranged in positions different from one another. A search range determination unit determines a limited search range in a second image captured by a second image capturing apparatus among the plurality of image capturing apparatuses in accordance with the movement information. An object recognition unit performs recognition of the moving object for the search range in the second image.