文件名称:DLTcode
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- 上传时间：2014-09-02
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文件大小：21.18mb
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Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
-Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
-Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DLT/
DLT/DLT/
DLT/DLT/affineUtility/
DLT/DLT/affineUtility/affparam2geom.m
DLT/DLT/affineUtility/affparam2mat.m
DLT/DLT/affineUtility/affparaminv.m
DLT/DLT/affineUtility/affwarpimg.m
DLT/DLT/drawUtility/
DLT/DLT/drawUtility/drawbox.m
DLT/DLT/drawUtility/drawtrackresult.m
DLT/DLT/drawUtility/showimgs.m
DLT/DLT/estwarp_condens_DLT.m
DLT/DLT/imageUtility/
DLT/DLT/imageUtility/interp2.cpp
DLT/DLT/imageUtility/interp2.dll
DLT/DLT/imageUtility/interp2.mexa64
DLT/DLT/imageUtility/interp2.mexglx
DLT/DLT/imageUtility/interp2.mexw64
DLT/DLT/imageUtility/sampleNeg.m
DLT/DLT/imageUtility/samplePos_DLT.m
DLT/DLT/imageUtility/warpimg.m
DLT/DLT/initDLT.m
DLT/DLT/NN/
DLT/DLT/NN/nnapplygrads.m
DLT/DLT/NN/nnbp.m
DLT/DLT/NN/nnchecknumgrad.m
DLT/DLT/NN/nneval.m
DLT/DLT/NN/nnff.m
DLT/DLT/NN/nnpredict.m
DLT/DLT/NN/nnsetup.m
DLT/DLT/NN/nntest.m
DLT/DLT/NN/nntrain.m
DLT/DLT/NN/nnupdatefigures.m
DLT/DLT/NN/sigm.m
DLT/DLT/pretrain.mat
DLT/DLT/readme.txt
DLT/DLT/run_DLT.m
DLT/DLT/run_individual.m
DLT/DLT/trackparam_DLT.m
DLT/Results/
DLT/Results/basketball_DLT.mat
DLT/Results/bolt_DLT.mat
DLT/Results/boy_DLT.mat
DLT/Results/car4_DLT.mat
DLT/Results/carDark_DLT.mat
DLT/Results/carScale_DLT.mat
DLT/Results/coke_DLT.mat
DLT/Results/couple_DLT.mat
DLT/Results/crossing_DLT.mat
DLT/Results/david2_DLT.mat
DLT/Results/david3_DLT.mat
DLT/Results/david_DLT.mat
DLT/Results/deer_DLT.mat
DLT/Results/dog1_DLT.mat
DLT/Results/doll_DLT.mat
DLT/Results/dudek_DLT.mat
DLT/Results/faceocc1_DLT.mat
DLT/Results/faceocc2_DLT.mat
DLT/Results/fish_DLT.mat
DLT/Results/fleetface_DLT.mat
DLT/Results/football1_DLT.mat
DLT/Results/football_DLT.mat
DLT/Results/freeman1_DLT.mat
DLT/Results/freeman3_DLT.mat
DLT/Results/freeman4_DLT.mat
DLT/Results/girl_DLT.mat
DLT/Results/ironman_DLT.mat
DLT/Results/jogging-1_DLT.mat
DLT/Results/jogging-2_DLT.mat
DLT/Results/jumping_DLT.mat
DLT/Results/lemming_DLT.mat
DLT/Results/liquor_DLT.mat
DLT/Results/matrix_DLT.mat
DLT/Results/mhyang_DLT.mat
DLT/Results/motorRolling_DLT.mat
DLT/Results/mountainBike_DLT.mat
DLT/Results/shaking_DLT.mat
DLT/Results/singer1_DLT.mat
DLT/Results/singer2_DLT.mat
DLT/Results/skating1_DLT.mat
DLT/Results/skiing_DLT.mat
DLT/Results/soccer_DLT.mat
DLT/Results/subway_DLT.mat
DLT/Results/suv_DLT.mat
DLT/Results/sylvester_DLT.mat
DLT/Results/tiger1_DLT.mat
DLT/Results/tiger2_DLT.mat
DLT/Results/trellis_DLT.mat
DLT/Results/walking2_DLT.mat
DLT/Results/walking_DLT.mat
DLT/Results/woman_DLT.mat
DLT/DLT/
DLT/DLT/affineUtility/
DLT/DLT/affineUtility/affparam2geom.m
DLT/DLT/affineUtility/affparam2mat.m
DLT/DLT/affineUtility/affparaminv.m
DLT/DLT/affineUtility/affwarpimg.m
DLT/DLT/drawUtility/
DLT/DLT/drawUtility/drawbox.m
DLT/DLT/drawUtility/drawtrackresult.m
DLT/DLT/drawUtility/showimgs.m
DLT/DLT/estwarp_condens_DLT.m
DLT/DLT/imageUtility/
DLT/DLT/imageUtility/interp2.cpp
DLT/DLT/imageUtility/interp2.dll
DLT/DLT/imageUtility/interp2.mexa64
DLT/DLT/imageUtility/interp2.mexglx
DLT/DLT/imageUtility/interp2.mexw64
DLT/DLT/imageUtility/sampleNeg.m
DLT/DLT/imageUtility/samplePos_DLT.m
DLT/DLT/imageUtility/warpimg.m
DLT/DLT/initDLT.m
DLT/DLT/NN/
DLT/DLT/NN/nnapplygrads.m
DLT/DLT/NN/nnbp.m
DLT/DLT/NN/nnchecknumgrad.m
DLT/DLT/NN/nneval.m
DLT/DLT/NN/nnff.m
DLT/DLT/NN/nnpredict.m
DLT/DLT/NN/nnsetup.m
DLT/DLT/NN/nntest.m
DLT/DLT/NN/nntrain.m
DLT/DLT/NN/nnupdatefigures.m
DLT/DLT/NN/sigm.m
DLT/DLT/pretrain.mat
DLT/DLT/readme.txt
DLT/DLT/run_DLT.m
DLT/DLT/run_individual.m
DLT/DLT/trackparam_DLT.m
DLT/Results/
DLT/Results/basketball_DLT.mat
DLT/Results/bolt_DLT.mat
DLT/Results/boy_DLT.mat
DLT/Results/car4_DLT.mat
DLT/Results/carDark_DLT.mat
DLT/Results/carScale_DLT.mat
DLT/Results/coke_DLT.mat
DLT/Results/couple_DLT.mat
DLT/Results/crossing_DLT.mat
DLT/Results/david2_DLT.mat
DLT/Results/david3_DLT.mat
DLT/Results/david_DLT.mat
DLT/Results/deer_DLT.mat
DLT/Results/dog1_DLT.mat
DLT/Results/doll_DLT.mat
DLT/Results/dudek_DLT.mat
DLT/Results/faceocc1_DLT.mat
DLT/Results/faceocc2_DLT.mat
DLT/Results/fish_DLT.mat
DLT/Results/fleetface_DLT.mat
DLT/Results/football1_DLT.mat
DLT/Results/football_DLT.mat
DLT/Results/freeman1_DLT.mat
DLT/Results/freeman3_DLT.mat
DLT/Results/freeman4_DLT.mat
DLT/Results/girl_DLT.mat
DLT/Results/ironman_DLT.mat
DLT/Results/jogging-1_DLT.mat
DLT/Results/jogging-2_DLT.mat
DLT/Results/jumping_DLT.mat
DLT/Results/lemming_DLT.mat
DLT/Results/liquor_DLT.mat
DLT/Results/matrix_DLT.mat
DLT/Results/mhyang_DLT.mat
DLT/Results/motorRolling_DLT.mat
DLT/Results/mountainBike_DLT.mat
DLT/Results/shaking_DLT.mat
DLT/Results/singer1_DLT.mat
DLT/Results/singer2_DLT.mat
DLT/Results/skating1_DLT.mat
DLT/Results/skiing_DLT.mat
DLT/Results/soccer_DLT.mat
DLT/Results/subway_DLT.mat
DLT/Results/suv_DLT.mat
DLT/Results/sylvester_DLT.mat
DLT/Results/tiger1_DLT.mat
DLT/Results/tiger2_DLT.mat
DLT/Results/trellis_DLT.mat
DLT/Results/walking2_DLT.mat
DLT/Results/walking_DLT.mat
DLT/Results/woman_DLT.mat
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