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:

• demo_midfilter_cuhk01.m : perform evaluation on the CUHK01 dataset

##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 
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  		  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

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