Image Analysis System Using Area Segmentation for Traffic Monitoring
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Solution Overview
Problem
Current image analysis systems in traffic monitoring are inefficient due to the need to analyze entire images to identify a target vehicle, leading to low processing efficiency.
Innovation Solution
The method involves receiving target information from an image acquisition device, determining the corresponding target area within the image using pre-stored correspondence between device identification and area information, and analyzing only the specific area containing the target vehicle, thereby reducing the image size and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image analysis system analyzes the entire image to identify the target vehicle, then the identification accuracy is improved, but the processing time increases and efficiency decreases
Solution Approach 1:
The patent divides the entire image into multiple sub-images based on the image acquisition area. The system only analyzes the sub-image corresponding to the detection area where the target vehicle is located, rather than processing the whole image. This segmentation approach maintains identification accuracy while significantly reducing processing time and computational resources.
Solution Approach 2:
The patent extracts and focuses on the specific detection area within the larger image. By using the image acquisition device's detection area information, the system extracts only the relevant portion of the image containing the target vehicle for analysis, eliminating the need to process irrelevant areas and thus improving efficiency.
2Loss of information
If the image analysis system analyzes the entire image, then comprehensive information is obtained, but the processing complexity and computational load increase
Solution Approach 1:
The patent segments the image processing task into two parts: using the pre-stored image acquisition area to define the detection region, and then analyzing only that specific region. This reduces computational complexity while ensuring all relevant vehicle information within the detection area is captured.
Solution Approach 2:
The patent performs preliminary action by pre-storing the image acquisition area and detection area information for each image acquisition device. This pre-processing step enables the system to quickly locate and analyze only the relevant area without needing to process the entire image, thereby reducing computational load while maintaining information completeness.
Data Source
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AI summary
An embodiment of the present application provides an image analysis method and device, and the method includes: receiving target information sent by a target image acquisition device; wherein the target information includes at least: a first image acquired by the target image acquisition device, and the identification information of the target image acquisition device; obtaining target area information corresponding to the identification information of the target image acquisition device according to a correspondence between pre-stored identification information of each image acquisition device and respective area information; in the first image, determining a second image corresponding to the target area information, and analyzing the second image. In the embodiment of the present application, only the second image including a specific area of the first image can be analyzed, the size of the second image is smaller when comparing with the first image, therefore the efficiency of analyzing an image can be increased.