28 January 2008 Motion tracking with non-stationary camera based on area and level set weighted average of centroid shifting vectors
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Abstract
In this paper, we propose a new representation of the location of the target that aims for the application of object tracking with non-stationary cameras and non-rigid motion: the area weighted mean of the centroids corresponding to each color bin of the target. With this representation, the target localization in the next frame can be achieved by a direct one step computation. The tracking based on this representation has several advantages such as being possible to track in low-rate-frame environment, allowing partial occlusion and being fast due to the one step computation. We also propose a background feature elimination algorithm which is based on the level set based bimodal segmentation and is incorporated into the tracking scheme to increase the robustness of the scheme.
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Suk-Ho Lee, Moon Gi Kang, "Motion tracking with non-stationary camera based on area and level set weighted average of centroid shifting vectors", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682209 (28 January 2008); doi: 10.1117/12.765724; https://doi.org/10.1117/12.765724
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