Object Tracking Apparatus Using Weighted Region Adaptation
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Solution Overview
Problem
Existing object tracking techniques fail to effectively adapt to changes in the shape or size of objects within image sequences, leading to potential tracking errors or loss of the object.
Innovation Solution
An object tracking apparatus and method that employs a first candidate object region with a fixed size and a second candidate object region adapted to the shape or size of the object, with a weighting unit calculating a weighted sum of both to determine the object region in each image, allowing for dynamic adaptation and minimizing tracking errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a fixed-size object region is used for tracking, then the tracking stability is improved, but the ability to adapt to shape or size changes of the object deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from a static fixed-size object region to a dynamic adaptive object region that changes its size and shape according to the actual object characteristics in each frame. The object region is continuously adjusted based on detection results, allowing it to adapt to shape or size changes while maintaining tracking stability through the weighted combination with the previous object region.
Solution Approach 2:
The patent changes the parameters of the object region (size, shape, position) dynamically based on detection results. By adjusting these parameters according to the detected object characteristics and combining them with the previous object region parameters through weighted averaging, the system achieves both adaptability to changes and tracking stability.
2Adaptability or versatility
If an adaptive object region is used for tracking, then the adaptability to shape or size changes is improved, but the tracking stability deteriorates
Solution Approach 1:
The patent implements feedback by using detection results to adjust the object region and then using the adjusted object region as the basis for subsequent tracking. The system continuously monitors detection quality and adjusts the object region accordingly, creating a feedback loop that improves adaptability while maintaining stability through the weighted combination with the previous object region.
Solution Approach 2:
The object region is made dynamic through continuous adjustment based on detection results. The system transitions from a static to a dynamic object region that adapts to shape or size changes while the weighted combination with the previous object region provides smoothing that maintains tracking stability.
3Device complexity
If only a fixed-size object region is used, then the computational complexity is reduced, but the tracking precision for changing objects deteriorates
Solution Approach 1:
The patent segments the object region determination into two components: a fixed-size object region from the previous frame and an adaptive object region from detection results. This segmentation allows the system to combine simple fixed-size tracking with more precise adaptive detection, improving tracking precision for changing objects while keeping computational complexity manageable through the weighted combination approach.
4Measurement precision
If only an adaptive object region is used, then the tracking precision for changing objects is improved, but the computational complexity increases
Solution Approach 1:
The patent applies partial action by using a weighted combination where the fixed-size object region component provides a baseline that reduces computational requirements. Instead of fully relying on computationally intensive adaptive detection, the system uses a partial contribution from detection results combined with the simpler fixed-size tracking, achieving good tracking precision with reduced computational complexity.
Data Source
AI summary
An object tracking apparatus is configured to determine, according to a predetermined object region containing an object in an initial image of an image sequence, an object region estimated to contain the object in each subsequent image of the image sequence. Moreover, the object tracking apparatus is allowed to adapt the size of the object region obtained through tracking to the change in the shape or size of the object, and to avoid a tracking error.


