Multi-Camera Tracking Accuracy via Motion Vector Reliability
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Solution Overview
Problem
Conventional imaging systems using multiple cameras struggle to accurately track a moving object, especially when the object goes behind another person or object, as they do not effectively utilize information from non-active cameras to improve imaging accuracy.
Innovation Solution
An imaging apparatus comprising a first and second camera, each equipped with motion detection units and reliability degree generators, which share motion information to enhance tracking accuracy by determining a combined motion vector based on the reliability of both cameras' data, allowing for improved object tracking even if one camera has difficulty detecting motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single camera is used to capture images, then the device complexity is reduced, but the tracking accuracy deteriorates when the object is occluded or moves out of frame
Solution Approach 1:
The patent combines motion detection results from multiple cameras by merging their motion vectors and reliability degrees. The imaging apparatus integrates motion information from both the first and second motion detection units to generate a combined third motion information, allowing the system to maintain accurate tracking even when one camera fails to detect the object due to occlusion or positioning.
2Measurement precision
If multiple cameras are used to track objects, then tracking accuracy is improved, but the loss of time increases due to camera switching delays
Solution Approach 1:
The system performs preliminary motion detection using multiple cameras simultaneously rather than switching between them. By having both cameras detect motion in advance and the system ready to combine their results, the patent eliminates the time delay associated with switching cameras while maintaining accurate tracking through integrated motion information.
3Reliability
If imaging conditions are inherited during camera switching, then the adaptation time is reduced, but the reliability of motion detection deteriorates when the active camera has poor detection capability
Solution Approach 1:
The system implements feedback by continuously evaluating the reliability degree of motion information from multiple cameras and using this feedback to weight and combine their motion vectors. The tracking unit generates third motion information based on the reliability degrees of both cameras, allowing the system to automatically rely more on the camera with better detection capability while reducing dependence on the weaker one.
4Measurement precision
If motion information from multiple cameras is integrated, then tracking accuracy is improved, but the processing complexity increases
Solution Approach 1:
The patent changes the parameter of motion information representation by converting motion vectors from multiple cameras into a unified third motion information format weighted by reliability degrees. This parameter transformation simplifies the integration process by providing a standardized method to combine vectors from different cameras, reducing the overall processing complexity despite handling multiple data sources.
Data Source
AI summary
An imaging system includes a plurality of cameras capable of capturing actual images. Of the plurality of cameras, a first camera detects first motion information about a main object. The second camera detects second motion information about the main object. The first camera determines motion information to be used based on the first motion information and the second motion information.