Object Tracking With Adaptive Image Regions for Lower Computational Load
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Solution Overview
Problem
High-resolution images require significant computational resources for processing, limiting the efficiency of object tracking systems.
Innovation Solution
An object tracking apparatus that processes a partial region of the image and controls the imaging apparatus to ensure the object of interest is within this region, reducing computational load while maintaining trackability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed on the entire high-resolution image, then object detection precision is improved, but computational resource consumption increases
Solution Approach 1:
The patent divides the high-resolution image into multiple regions of interest (ROIs) based on preliminary detection or predicted object locations. Instead of processing the entire image, the system focuses computational resources only on these segmented regions where objects are likely to be present, thereby maintaining detection precision while significantly reducing overall computational resource consumption.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image. High-resolution processing is applied only to regions containing objects of interest, while other regions receive reduced or no processing. This local quality approach ensures that object detection precision is maintained in critical areas while reducing computational burden in non-critical areas.
2Productivity
If the imaging range is reduced to a partial region, then processing speed is improved, but object trackability may be compromised
Solution Approach 1:
The patent dynamically adjusts the imaging range and region of interest based on the tracked object's current position, velocity, and predicted trajectory. The partial region is not fixed but adapts in real-time to follow the object, ensuring the object remains within the processed area while maintaining high processing speed. This dynamic adjustment preserves object trackability despite the reduced processing area.
Solution Approach 2:
The system continuously monitors the tracked object's position and uses this feedback to adjust the imaging range and region of interest. This closed-loop control ensures that the object remains within the partial region being processed, maintaining trackability while benefiting from the speed improvements of processing only a subset of the image.
Data Source
AI summary
An object tracking apparatus (10) includes a target determination information acquisition unit (110), an image processing unit (120), and a control unit (130). The target determination information acquisition unit (110) acquires target determination information determining an object to be tracked. The image processing unit (120) detects the object to be tracked and tracks the detected object by performing image processing on a to-be-processed region being a partial region of an image acquired from an imaging apparatus (20). The control unit (130) controls an imaging range of the imaging apparatus (20) in such a way that the object to be tracked is included in the to-be-processed region.