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Deep Learning based Person Re-identification
[article]
2020
arXiv
pre-print
Automated person re-identification in a multi-camera surveillance setup is very important for effective tracking and monitoring crowd movement. In the recent years, few deep learning based re-identification approaches have been developed which are quite accurate but time-intensive, and hence not very suitable for practical purposes. In this paper, we propose an efficient hierarchical re-identification approach in which color histogram based comparison is first employed to find the closest
arXiv:2005.03293v1
fatcat:73r3wb37u5e4bawkyauz6ykchq