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Journal of Imaging, Volume 8, Issue 3

2022 March - 32 articles

Cover Story: Visual tracking is still an open challenge in computer vision, especially with mobile cameras and in the wild. Errors in the target’s bounding-box estimations accumulate over time and yield to drifting of the tracker. Hence, bounding-box estimations must be as precise as possible in each frame. This article proposes a new iterative procedure to locate the target in the image by gradually refining its bounding box. It also introduces the idea of non-conflicting bounding-box transformations, which allows applying multiple refinements to the target’s bounding box without introducing ambiguities when learning parameters. The empirical results demonstrate that the proposed approach improves the single iterative refinement in terms of accuracy of tracking results. View this paper
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J. Imaging - ISSN 2313-433X
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