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Abstract. We present a method of improving the accuracy of a 3D human motion tracker. Beginning with confidence-weighted estimates for.
We present a method of improving the accuracy of a 3D human motion tracker. Beginning with confidence-weighted estimates for the positions of body parts, ...
This work solves the shortest path problem to identify combinations of positions that fit the rigid lengths of the body, and chooses from multiple sets of ...
Combinatorial optimization for human body tracking. A Hynes, S Czarnuch. Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las …, 2016. 3 ...
Dec 1, 2019 · The purpose of this research is to provide a new method of calculating lower limb joint's active torsional stiffness based on the body's four-degrees-of- ...
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This thesis addresses several problems in computer vision, including low-level motion estimation under varying illumination, interactive image segmentation, ...
Jun 15, 2020 · In this paper, we proposed combinatorial optimization formulation and used a bipartite graph matching for associating the targets in the consecutive frames.
May 15, 2020 · This review focuses on current combinatorial optimization methods and emerging technologies facilitating their applications.
This thesis addresses several problems in computer vision, including low-level motion estimation under varying illumination, interactive image segmentation, ...
In this paper, we come up with a simple yet effective target representation for human tracking. Our inspiration comes from the fact that the human body goes ...