Multi-Camera Occupant Detection Using Timing Verification
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Solution Overview
Problem
Existing methods for detecting the number of persons on a vehicle are limited in accuracy and efficiency, particularly when occupants are partially hidden or imaged from a single direction, leading to incomplete detection and increased processing loads.
Innovation Solution
An analysis apparatus utilizing multiple cameras capturing images from different directions to detect human faces and determine the number of occupants, with a determination unit verifying if images satisfy a predetermined condition based on imaging time, thereby improving detection accuracy and reducing processing loads by integrating data from multiple angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras capture images from different directions, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system divides the detection task into separate modules: a first camera captures images from a first direction, a second camera captures images from a second direction, and the determination unit processes each image group independently before integrating results. This segmentation allows multiple cameras to be used without overwhelming complexity in a single processing unit.
Solution Approach 2:
The patent introduces a temporal dimension by associating image groups with timing information (first timing for first camera, second timing for second camera). The determination unit uses these timing parameters to verify whether images satisfy predetermined conditions, adding a time-based filtering dimension that reduces complexity by pre-filtering irrelevant images before integration.
2Productivity
If images are processed without timing verification, then processing speed is maintained, but unnecessary processing increases computational load
Solution Approach 1:
The determination unit performs preliminary verification by checking whether the first and second image groups satisfy predetermined conditions based on timing information before proceeding to detect the number of occupants. This preliminary action filters out irrelevant image pairs, reducing the computational load on subsequent processing steps.
Solution Approach 2:
The system uses timing information as feedback to verify whether images should be processed together. The determination unit compares the first timing and second timing to determine if the images satisfy predetermined conditions, creating a feedback mechanism that guides the processing workflow and avoids unnecessary computations on mismatched images.
3Measurement precision
If occupants are detected from a single direction, then device complexity is reduced, but detection accuracy decreases due to hidden occupants
Solution Approach 1:
The patent merges the detection results from multiple cameras by integrating the number of occupants detected from the first direction with the number of occupants detected from the second direction. The determination unit combines these separate detection results to arrive at a comprehensive count, ensuring all occupants are counted even if hidden in one view.
Solution Approach 2:
The determination unit serves multiple functions: it verifies timing conditions, determines whether image groups satisfy predetermined conditions, and integrates detection results from multiple cameras. This multi-functionality allows the system to achieve high detection accuracy without proportionally increasing device complexity.
Data Source
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AI summary
The present invention provides an analysis apparatus (10) including a first image analysis unit (11) which detects persons from a first image generated by a first camera that captures a vehicle passing through a road; a first detection unit (12) which detects the number of occupants in the vehicle captured in the first image; a second image analysis unit (13) which detects persons from a second image generated by a second camera that captures the vehicle passing through the road; a second detection unit (14) which detects the number of occupants in the vehicle captured in the second image; a determination unit (15) which determines whether or not the first image and the second image satisfy a predetermined condition; and a decision unit (16) which decides, in a case where the first image and the second image satisfy the predetermined condition, the number of occupants in the vehicle with use of the number of occupants in the vehicle captured in the first image and the number of occupants in the vehicle captured in the second image.