Robust object tracking using camshift with multicue integration

Yang-jun Zhong; Shui-ping Zhang

doi:10.1117/12.920208

13 January 2012 Robust object tracking using camshift with multicue integration

Yang-jun Zhong, Shui-ping Zhang

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 834915 (2012) https://doi.org/10.1117/12.920208
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Multi-cue-based Camshift algorithm is presented for object tracking in complex scenes. Because color-based Camshift algorithm suffers from objects with color clutter in backgrounds, this paper integrates motion cue with color cue to extend its application areas. Moreover, the robust real-time multiresolution algorithm is used to obtain motion information in dynamic background. Experimental work verifies that the proposed multiple cues strategy really improves the tracking performance of the classical Camshift using a single cue.

Citation Download Citation

Yang-jun Zhong and Shui-ping Zhang "Robust object tracking using camshift with multicue integration", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834915 (13 January 2012); https://doi.org/10.1117/12.920208

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