cvpr12_xu_code
所属分类：图形图像处理
开发工具：matlab
文件大小：13361KB
下载次数：32
上传日期：2012-12-01 16:05:28
上 传 者：
grcb
说明： 视觉追踪通过自适应构造局部视觉模型，追踪效果比较好
(Visual Tracking via Adaptive Structural Local Appearance Model)
文件列表:
code\affparam2geom.m (1836, 2008-11-12)
code\affparam2mat.m (1193, 2008-11-12)
code\affparaminv.m (452, 2008-11-29)
code\drawbox.m (1532, 2009-04-22)
code\drawtrackresult.m (809, 2011-09-03)
code\img2patch.m (668, 2011-09-21)
code\initial_tracking.m (2601, 2012-04-12)
code\interp2.cpp (4152, 2008-05-05)
code\interp2.dll (24576, 2008-05-05)
code\interp2.mexa64 (12982, 2008-05-05)
code\interp2.mexglx (10719, 2008-05-05)
code\mexLasso.m (2200, 2010-02-23)
code\mexLasso.mexw32 (1520640, 2010-02-23)
code\normalizeMat.m (105, 2011-09-22)
code\result\woman_sequence\about_ground_truth.txt (49, 2012-04-12)
code\result\woman_sequence\woman_sequence_ground_truth.txt (16401, 2011-11-12)
code\sampling.m (289, 2011-09-14)
code\setTrackParam.m (2985, 2012-05-25)
code\sklm.m (2647, 2008-11-30)
code\tracker.m (5318, 2012-05-21)
code\warpimg.m (966, 2010-11-01)
code\woman_sequence\0.jpg (14274, 2005-11-02)
code\woman_sequence\1.jpg (16692, 2005-11-02)
code\woman_sequence\10.jpg (14348, 2005-11-02)
code\woman_sequence\100.jpg (17007, 2005-11-02)
code\woman_sequence\101.jpg (20804, 2005-11-02)
code\woman_sequence\102.jpg (20940, 2005-11-02)
code\woman_sequence\103.jpg (20549, 2005-11-02)
code\woman_sequence\104.jpg (20669, 2005-11-02)
code\woman_sequence\105.jpg (21750, 2005-11-02)
code\woman_sequence\106.jpg (20127, 2005-11-02)
code\woman_sequence\107.jpg (19717, 2005-11-02)
code\woman_sequence\108.jpg (20505, 2005-11-02)
code\woman_sequence\109.jpg (21074, 2005-11-02)
code\woman_sequence\11.jpg (14145, 2005-11-02)
code\woman_sequence\110.jpg (20842, 2005-11-02)
code\woman_sequence\111.jpg (20908, 2005-11-02)
code\woman_sequence\112.jpg (20193, 2005-11-02)
code\woman_sequence\113.jpg (20351, 2005-11-02)
... ...
This code is for the tracker published in the following paper.
Xu Jia, Huchuan Lu, and Ming-Hsuan Yang, Visual Tracking via Adaptive Structural Local Appearance Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence, June, 2012
The code runs on Windows 7 with MATLAB 2009b.
The main tracking function is in tracker.m and the parameters related to image sequences are set in setTrackParam.m
The initial tracking uses two functions vl_kdtreebuild and vl_kdtreequery from the VLFeat open source library.
The formal tracking uses the following SPArse Modeling Software.
http://www.di.ens.fr/willow/SPAMS/downloads.html
J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online learning for matrix factorization and sparse coding. Journal of Machine Learning Research, 11:19¨C60, 2010.
The results are slightly sensitive to affine parameters. You may obtain better results by adjusting the parameters.
This is the first version of code. We appreciate any comments/suggestions. For more quetions, please contact us via jiayushenyang@gmail.com, lhchuan@dlut.edu.cn or mhyang@ucmerced.edu.
Xu Jia, Huchuan Lu and Ming-Hsuan Yang
April 2012
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