TrackingAlgoCollection

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TrackingAlgoCollection

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A collection of common tracking algorithms

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TrackingAlgoCollection
======================

A collection of common tracking algorithms

## [Object tracking Survey](http://plaza.ufl.edu/lvtaoran/object%20tracking.htm)
[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.
## IVT [[Origin Code]](http://www.cs.toronto.edu/~dross/ivt/)
[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.

## TLD [[Origin Code]](http://info.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html)
[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]](http://www.vision.ee.ethz.ch/boostingTrackers)
### (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.

## MIL [[Origin Code]](http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml)
(The code is quite outdated now, and relies on old versions of OpenCV and IPP.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.

## L1-APG [[Origin Code]](http://www.dabi.temple.edu/~hbling/code_data.htm)
[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).
	
## VTD [[Origin Code]](http://cv.snu.ac.kr/research/~vtd/)
[1] J. Kwon and K. Lee, "Visual tracking decomposition," in Proc. 2010 Computer Vision and Pattern Recognition (CVPR '10), pp. 1269-1276.

## RCT [[Origin Code]](http://www4.comp.polyu.edu.hk/~cslzhang/CT/CT.htm)
[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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