Matlab code for our CVPR 2014 work on learning mid-level filters for person re-identification
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README.md

midfilter_reid

Matlab code for our CVPR 2014 work on learning mid-level filters for person re-identification.

Created by Rui Zhao, on June 20, 2014.

##Summary In this package, you can find an updated version of MATLAB code for the following paper:

  • Rui Zhao, Wanli Ouyang, and Xiaogang Wang. Unsupervised Salience Learning for Person Re-identification. In CVPR 2014.

##Install

  • Download CUHK01 dataset, and put it into directory ./dataset/campus/
  • Compile LibSVM: and put it to directory ./code/libsvm
  • GACtoolbox: the gactoolbox in subfolder ./code/gactoolbox is a revised version. Using the original repository may cause problem.
  • DenseFeat: we use the dense color and SIFT feature, the code for extracting dense features is preliminarily cloned to ./code/densefeat
  • PatchMatch: the patch matching code in ./code/patchmatch/rowcolop_core.cpp is clone from Dahua Lin's Statistical Learning Toolbox, and you need to mex it for using patch match functions.
  • Structural SVM: we only provide a preliminarily compiled lib for 64-bit windows in ./code/rsvm/, for other platforms, you are referred to Prof. Andrea Vedaldi's webpage to download the full code to compile.

##Demos One demo is available:

##Remarks

  • This implementation is a little different than the original version in the training / testing partition, so that the result may vary a little. If you use the default parameter settings, you are suppose to get 33.3% rank-1 matching rate for only one-trial testing.
  • The training / testing partition is generated following the approach SDALF
  • This demo was tested on MATLAB (R2012b), 64-bit Windows, Intel Xeon 3.33 GHz CPU
  • Intermediate cache data would take up to 26GB disk memory
  • Memory cost of demo on the CUHK01 dataset would be around 40GB.

##Citing our work Please kindly cite our work in your publications if it helps your research:

@inproceedings{zhao2014learning,
    title = {Learning Mid-level Filters for Person Re-identification},
    author={Zhao, Rui and Ouyang, Wanli and Wang, Xiaogang},
    booktitle = {IEEE Conference on Computer Vision and Pattern
	Recognition (CVPR)},
    year = {2014}
}

##License

Copyright (c) 2014, Rui Zhao
All rights reserved. 

Redistribution and use in source and binary forms, with or without 
modification, are permitted provided that the following conditions are 
met:
		* Redistributions of source code must retain the above copyright 
  		  notice, this list of conditions and the following disclaimer.
		* Redistributions in binary form must reproduce the above copyright 
  		  notice, this list of conditions and the following disclaimer in 
  		  the documentation and/or other materials provided with the distribution

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 	
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