The classical algorithm of target tracking _ learning materials

0,online Object tracking:a Benchmark cvpr2013 Overview http://visual-tracking.net/#
Http://cvlab.hanyang.ac.kr/tracker_benchmark_v10.html

1, vtd:visual tracking decomposition cvpr2010 source + Test Video
http://cv.snu.ac.kr/research/~vtd/

2, ct:real-time compressive tracking eccv2012 source + Test Video

Http://www4.comp.polyu.edu.hk/~cslzhang/CT/CT.htm

3, Prost-parallel robust Online simple tracking test video

http://gpu4vision.icg.tugraz.at/index.php?content=subsites/prost/prost.php

4,tld

5, MIL

6, struck

7, Stc:fast Trackingvia spatio-temporal context Learning 2013-11-24

At present, the author has disclosed the support of Multi-scale matlab code

Http://www4.comp.polyu.edu.hk/~cslzhang/STC/STC.htm

8 kcf:kernelized Correlation Filters

http://home.isr.uc.pt/~henriques/circulant/

9. Finally make out and Shang Tang face++ face feature point the same effect, you can test,
When running, do not modify the package name, the package name is consistent with the project can be:
Https://pan.baidu.com/s/1mios2pE

Visual Trackers

We have tested publicly available visual trackers. The trackers are listed in chronological order.

NAME CODE REFERENCE CPF CPF P. Pe 虂 rez, C. Hue, J. Vermaak, and M. Gangnet. COLOR-BASED probabilistic tracking. In ECCV, 2002. KMS kms D. Comaniciu, V. Ramesh, and P. Meer. KERNEL-BASED Object Tracking. Pami, 25 (5): 564 transmission 577, 2003. SMS SMS R. Collins. MEAN-SHIFT Blob tracking through Scale space. In CVPR, 2003. Vr-v vivid/vr R. Collins, Y. Liu, and M. Leordeanu. Online Selection of discriminative tracking Features. Pami, 27 (10): 1631 transmission 1643, 2005. [WWW]
* We also evaluated four trackers included in the VIVID suite. (Pd-v, listen to Rs-v, listen to Ms-v, listen to tm-v). Frag Frag A. Adam, E. Rivlin, and I. Shimshoni. Robust fragments-based tracking using the Integral histogram. In CVPR, 2006. [WWW] OAB OAB H. Grabner, M. Grabner, and H. Bischof. Real-time tracking via on-line boosting. In Bmvc, 2006. [WWW] IVT IVT D. Ross, J. Lim, R.-s. Lin, and M.-h. Yang. Incremental Learning for robust Visual tracking. IJCV, 77 (1): 125 transmission 141, 2008. [WWW] Semit SBT H. Grabner, C. Leistner, and H. Bischof. Semi-supervised on-line boosting for robust tracking. In ECCV, 2008. [WWW] MIL MIL B. Babenko, M.-h. Yang, and S. Belongie. Visual tracking with Online multiple Instance Learning. In CVPR, 2009. [WWW] BSBT BSBT S. Stalder, H. Grabner, and L. van Gool. Beyond semi-supervised tracking:tracking Should is as simple as detection, but not Simpler than. In ICCV Workshop, 2009. [WWW] TLD TLD Z. Kalal, J. Matas, and K. Mikolajczyk. P-n learning:bootstrapping Binary classifiers by structural Constraints. In CVPR, 2010. [WWW] VTD Transmission J. Kwon and K. Lee. Visual tracking decomposition. In CVPR, 2010. [WWW] CXT cxt Dinh, N. Vo, and G. Medioni. Context Tracker:exploring supporters and distracters in unconstrained environments. In CVPR, 2011. [WWW] LSK LSK B. Liu, J. Huang, L. Yang, and C. Kulikowsk. Robust tracking using local Sparse appearance Model and k-selection. In CVPR, 2011. [WWW] Struck struck S. Hare, A. Saffari, and P. Torr. Struck:structured Output tracking with kernels. In ICCV, 2011. [WWW] VTS Transmission J. Kwon and K. Lee. Tracking by sampling trackers. In ICCV, 2011. [WWW] ASLA ASLA x. Jia, H. Lu, and M.-h. Yang. Visual tracking via adaptive structural local Sparse appearance Model. In CVPR, 2012. [WWW] DfT DFT, L. Sevilla-lara and E. Learned-miller. Distribution Fields for tracking. In CVPR, 2012. [WWW] L1APG l1apg C. Bao, Y. Wu, H. Ling, and H. Ji. Real time robust L1 Tracker Using accelerated proximal gradient. In CVPR, 2012.l1_tracker ">[www] LOT LOT S. Oron, A. Bar-hillel, D. Levi, and S. Avidan. Locally orderless tracking. In CVPR, 2012. [WWW] MTT T.zhang, B. ghanem,s. Liu,and N. Ahuja. Robust Visual tracking via multi-task Sparse Learning. In CVPR, 2012. [WWW] Oria Oria Y. Wu, B Shen, and H. Ling Online Robust Image alignment via iterative convex. In CVPR, 2012. [WWW] SCM SCM W. Zhong, H. Lu, and M.-h. Yang. Robust Object tracking via sparsity-based collaborative Model. In CVPR, 2012. [WWW] CSK CSK F. Henriques, R. Caseiro, P. Martins, and J. Batista. Exploiting the circulant Structure of tracking-by-detection with kernels. In ECCV, 2012. Listening to [www] ct ct

K. Zhang, L. Zhang, and m.-h. Yang. Real-time compressive tracking. In ECCV, 2012. [www]