Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection

Baiyang Liu, Junzhou Huang, Casimir Kulikowski, Lin Yang

Accepted to IEEE Transaction on Pattern Analysis and Machine Intelligence, 2012

News: Recent version released on 12/18/2012

Software: download from here
Dataset: download from here
Reference

1. A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram". CVPR 2006
2. B. Babenko, M.H. Yang, and S. Belongie, "Visual tracking with online multiple instance learning". CVPR 2009
3. B. Liu, L. Yang, J. Huang, P. Meer, L. Gong and C. Kulikowski, "Robust and fast collaborative tracking with two stage sparse optimization". ECCV 2010
4. D. Ross, J. Lim, R. S. Lin, and M. H. Yang, "Incremental learning for robust visual tracking". IJCV2008
5. J. Santner, C. Leistener, A. Saffari, T. Pock, and H. Bischof, "Prost: Parallel robust online simple tracking". CVPR 2010

Sample Tracking Results

Note: The comparative experiments were conducted by running the programs or result provided by the authors. Please contact Lin Yang if you have questions. Please be aware that due to the random sampling step for sparse dictionary learning in the tracking algorithm, the results might not be exactly the same as we present in the video.

Lemming Sequence
David Sequence
Girl Sequence


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