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跟蹤演算法牛人主頁收集

0,Online Object Tracking: A Benchmark cvpr2013 綜述

     http://visual-tracking.net/#
     http://cvlab.hanyang.ac.kr/tracker_benchmark_v10.html

1,  VTD:  Visual Tracking Decomposition cvpr2010  原始碼+測試視訊
         http://cv.snu.ac.kr/research/~vtd/ 

2,  CT: Real-time Compressive Tracking  eccv2012 原始碼+測試視訊

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

3, PROST - Parallel Robust Online Simple Tracking   測試視訊

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

4,TLD

5,  MIL

6,  Struck

       目前作者已公開了支援多尺度的Matlab程式碼

8 KCF: Kernelized Correlation Filters

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

Visual trackers

We have tested 29 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鈥�577, 2003.
SMS SMS R. Collins. Mean-shift Blob Tracking through Scale Space. In CVPR, 2003.
VR-V VIVID/VR R. T. Collins, Y. Liu, and M. Leordeanu. Online Selection of Discriminative Tracking Features. PAMI, 27(10):1631鈥�1643, 2005.[www]
* We also evaluated four other trackers included in the VIVID tracker suite. (PD-V,聽RS-V,聽MS-V, and聽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鈥�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 Be as Simple as Detection, but not Simpler than Recognition. 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 鈥� J. Kwon and K. M. Lee. Visual Tracking Decomposition. In CVPR, 2010.[www]
CXT CXT T. B. 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. H. S. Torr. Struck: Structured Output Tracking with Kernels. In ICCV, 2011.[www]
VTS 鈥� J. Kwon and K. M. 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 Approach. 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 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 Optimization. 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.聽[www]
CT CT K. Zhang, L. Zhang, and M.-H. Yang. Real-time Compressive Tracking. In ECCV, 2012.[www]