Motion tracking with non-stationary camera based on area and level set weighted average of centroid shifting vectors

Suk-Ho Lee; Moon Gi Kang

doi:10.1117/12.765724

28 January 2008 Motion tracking with non-stationary camera based on area and level set weighted average of centroid shifting vectors

Suk-Ho Lee, Moon Gi Kang

Author Affiliations +

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 682209 (2008) https://doi.org/10.1117/12.765724
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Suk-Ho Lee and 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); https://doi.org/10.1117/12.765724

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