We maintain a public repository of re-identification results in this dataset. Send us your CMC curve to be uploaded (alex isr ist utl pt).
In our ECCV 2014 paper, we describe six experiments:
- MANUALall: Re-identification on manual annotated data;
- MANUALclean: Re-identification on manual annotated data, but only of fully visible upright people;
- DIRECT: Re-identification on Pedestrian Detection data computed with the ACF algorithm;
- FP OFF, OCC ON: Re-identification on the Pedestrian Detection data, but filtering out some of the occluded samples;
- FP ON, OCC OFF: Re-identification on the Pedestrian Detection data, but also training an extra class to represent False Positives;
- FP ON, OCC ON: Re-identification on the Pedestrian Detection data, filtering out some occluded samples and using the extra False Positive class.
We invite you to submit your results on the HDA+ dataset and we present here the up-to-date results on the different experiments.
In the legend, the first number correponds to re-identification accuracy at rank 1, and the second number represents area under the CMC curve.
Results with test camera 60, and remaining cameras for training:
Experiments with cross-validation across all cameras, one camera held for test with the rest for training for each round. Results averaging the 13 rounds of cross-validation:
Note: There are no results for  due to memory issues with the present form of the code.
 Dario Figueira, Matteo Taiana, Athira Nambiar, Jacinto Nascimento, Alexandre Bernardino, “The HDA+ data set for research on fully automated re-identification systems“, in ECCV workshop, 2014.
 Forssen, P.-E., “Maximally Stable Colour Regions for Recognition and Matching,” in Computer Vision and Pattern Recognition (CVPR), 2007.
 M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, “Person Re-identification by Symmetry-Driven Accumulation of Local Features” In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
 Dario Figueira, Loris Bazzani, Ha Quang Minh, Marco Cristani, Alexandre Bernardino, Vittorio Murino, “Semi-supervised multi-feature learning for person re-identification“, in IEEE International Conference Advanced Video and Signal Based Surveillance (AVSS), 2013.