Person Re-identification Benchmark

This repository hosts the codebase for the following work: Karanam, S., Gou, M., Wu, Z., Rates-Borras, A., Camps, O., & Radke, R. J. (2018). A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted February 2018.

Tested on Windows Server 2012 with MATLAB 2016b

Quick Start

Clone this repository
Run a quick example in run_experiment_benchmark.m
Read the results for VIPeR dataset with WHOS feature and XQDA

Run other experiments

Download supported dataset, unzip it and put it under the folder ./Data
Download corresponding partition file and put it under the folder ./TrainTestSplits
Run corresponding prepare_DATANAME.m inside the folder ./Data (if avaliable)
Change the parameters in run_experiment_benchmark.m

Check List for supported/tested feature

HistLBP
WHOS
gBiCov
LDFV
ColorTexture\ELF
LOMO (Windows)
GOG (Windows)

Check List for supported/tested metric learning

FDA
LFDA
kLFDA-linear/chi2/chi2-rbf/exp
XQDA
MFA
kMFA-linear/chi2/chi2-rbf/exp
NFST
KISSME
PCCA-linear/chi2/chi2-rbf/exp
rPCCA-linear/chi2/chi2-rbf/exp
kPCCA-linear/chi2/chi2-rbf/exp
PRDC
SVMML
kCCA

Check List for supported/tested multi-shot ranking method

rnp
srid
ahisd

Check List for supported/tested dataset

VIPeR Parition included in repo
Airport Partition comes with dataset
DukeMTMC4ReID Partition comes with dataset
Market1501 Partition
CAVIAR (WHOS feature only) Parition included in repo

Reference

Please cite the work appropriately for each used feature/metric learning/ranking/dataset

@ARTICLE{8294254, 
author={S. Karanam and M. Gou and Z. Wu and A. Rates-Borras and O. Camps and R. J. Radke}, 
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
title={A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets}, 
year={2018}, 
keywords={Benchmark testing;Cameras;Feature extraction;Histograms;Image color analysis;Measurement;Probes}, 
doi={10.1109/TPAMI.2018.2807450}, 
ISSN={0162-8828}, 
}

RSL-NEU/person-reid-benchmark