We consider the temporal alignment problem, in addition to the spatial one, and propose a new approach that takes the video of a walking person as input and builds a spatio-temporal appearance representation for pedestrian re-identification.
This code has been tested on Windows 7/8 64 bit with Matlab 2016b.
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Download the stfv3d code and unzip.
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Download the following datasets and put them into the folder '../Dataset/'.
- run main.m
If you find STFV3D useful in your research, please consider citing:
@article{zhang2017video,
author={Zhang, Wei and Ma, Bingpeng and Liu, Kan and Huang, Rui},
journal={IEEE Transactions on Image Processing},
title={Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model},
year={2017},
volume={26},
number={4},
pages={2042-2054},
ISSN={1057-7149}
}
@inproceedings{liu2015spatio,
title={A spatio-temporal appearance representation for viceo-based pedestrian re-identification},
author={Liu, Kan and Ma, Bingpeng and Zhang, Wei and Huang, Rui},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={3810--3818},
year={2015}
}
Copyright (c) 2017, Kan Liu All rights reserved.
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