zenhacker / TrackingAlgoCollection

A collection of common tracking algorithms

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TrackingAlgoCollection

A collection of common tracking algorithms

[1] A. Yilmaz, O. Javed and M. Shah, "Object tracking: A survey," ACM Comput. Surv., vol.38, 2006.

Thanks to the authors of these codes.

[1] Ross, D. A. and J. Lim, et al. (2008). "Incremental Learning for Robust Visual Tracking." Int. J. Comput. Vision 77(1-3): 125--141.

[1] Zdenek, K.(2012). "Tracking-Learning-Detection." IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1409-1422.

MeanShift

[1] Comaniciu, D. and V. Ramesh, et al. (2003). "Kernel-based object tracking." Pattern Analysis and Machine Intelligence, IEEE Transactions on 25(5): 564-577.

BoostingTracker [Origin Code]

(Online)BoostingTracker:

[1] Grabner, H. and M. Grabner, et al. (2006). Real-Time Tracking via On-line Boosting.

[2] Grabner, H. and H. Bischof(2006). On-line Boosting and Vision. CVPR '06, Washington, DC, USA, IEEE Computer Society.

SemiBoostingTracker:

[1] Grabner, H. and C. Leistner, et al. (2008). Semi-supervised On-Line Boosting for Robust Tracking. ECCV '08, Berlin, Heidelberg, Springer-Verlag.

BeyondSemiBoostingTracker:

[1] Stalder, S. and H. Grabner, et al. (2009). Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition.

(The code is quite outdated now, and relies on old versions of OpenCV and IPP. The code will soon make it into OpenCV)

[1] Babenko, B. and M. Yang, et al. (2009). Visual tracking with online Multiple Instance Learning.

[1] C. Bao, Y. Wu, H. Ling and H. Ji, "Real time robust L1 tracker using accelerated proximal gradient approach", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Rhode Island, 2012.

The paper extends the following two papers:

[2] X. Mei, H. Ling, Y. Wu, E. Blasch, and L. Bai, "Minimum Error Bounded Efficient L1 Tracker with Occlusion Detection", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, 2011.

[3] X. Mei and H. Ling, "Robust Visual Tracking and Vehicle Classification via Sparse Representation", IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 33(11):2259--2272, 2011.

[4] Mei, X. and H. Ling(2009). Robust visual tracking using L1 minimization. IEEE 11th International Conference on Computer Vision (ICCV '09).

[1] J. Kwon and K. Lee, "Visual tracking decomposition," in Proc. 2010 Computer Vision and Pattern Recognition (CVPR '10), pp. 1269-1276.

[1] K. Zhang, L. Zhang and M. Yang, "Real-time compressive tracking," in Proc. 2012 ECCV'12, pp. 864-877.

PFT: Particle Filter based Tracker

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A collection of common tracking algorithms


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