Target Tracker Using Complementary Space Projection
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Solution Overview
Problem
Existing target tracking technologies face challenges in maintaining tracking performance when the background within a bounding box surrounding targets changes, leading to issues such as target mixing and loss, especially when tracking multiple targets.
Innovation Solution
The implementation of a target tracking device that includes a dynamic background generator, background feature amount vector calculator, complementary space projection matrix calculator, and projection vector calculator, which generates a moving background image and projects target feature vectors into a complementary space to account for background changes within the bounding box.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional target tracking methods are used with bounding boxes, then multiple targets can be tracked, but background changes within the bounding box cause target mixing and loss
Solution Approach 1:
The patent segments the bounding box region into target region and background region. By separating the background feature amount from the target feature amount through complementary space projection, the system can independently handle background changes without affecting target identification accuracy, thus resolving the contradiction between tracking reliability and background adaptability
Solution Approach 2:
The patent introduces complementary space projection as an intermediary mechanism. This projection transforms the feature space to separate target characteristics from background characteristics, acting as a mediator that allows the system to maintain accurate target tracking while adapting to background changes within the bounding box
2Ease of operation
If the bounding box size is fixed, then tracking is simplified, but background portions change when tracking multiple moving targets
Solution Approach 1:
The patent changes the parameter representation by projecting feature amounts from the original space to complementary space. This parameter transformation allows the system to maintain a fixed bounding box size for operational simplicity while compensating for background instability through mathematical transformation of the feature vectors
Data Source
AI summary
A target tracker according to the present disclosure technology includes a feature amount corrector including a dynamic background generator, a background feature amount vector calculator, a complementary space projection matrix calculator, and a projection vector calculator, in which the dynamic background generator generates a moving image of a background by partially adding a background image of a place where a target is not shown in a past image to the moving image in a region of the bounding box in which movement of the target is shown, the background feature amount vector calculator calculates a background feature amount vector on the basis of an image of the background, and the complementary space projection matrix calculator calculates a projection matrix of the background feature amount vector to a complementary space, and the projection vector calculator multiplies a feature amount vector of the target by the projection matrix.