This repos contains the source codes implemented to run the experiments for person re-identification used within the paper: "Accelerated low-rank sparse metric learning for person re-identification", published in Pattern Recognition Letters, 2018.

Before doing any operation, please run the startup file which adds all the directories needed to run the main algorithm

startup;

Once that is done, the MATLAB code runs entirely starting from

main.m

This is the only file that should be executed to partially replicate the experiments. So far, the current parameters are set to run the experiments on the Market-1501 dataset. If you would like to evaluate a different dataset, please have a look at

init_paramters.m

The repository does not contain the datasets. To get them in a MATLAB readable format that will directly loaded by the scripts please download them from here: Datasets.

If you use the code contained in this package we appreciate if you'll cite our work.

BIBTEX: @article{Martinel2018a, author = {Martinel, Niki}, doi = {10.1016/j.patrec.2018.07.033}, issn = {01678655}, journal = {Pattern Recognition Letters}, pages = {234--240}, title = {{Accelerated low-rank sparse metric learning for person re-identification}}, url = {https://doi.org/10.1016/j.patrec.2018.07.033}, volume = {112}, year = {2018} }