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Real-World Re-Identification in an Airport Camera Network
2014
Proceedings of the International Conference on Distributed Smart Cameras - ICDSC '14
Human re-identification across non-overlapping fields of view is one of the fundamental problems in video surveillance. While most reported research for this problem is focused on improving the matching rate between pairs of cropped rectangles around humans, the situation is quite different when it comes to creating a re-identification algorithm that operates robustly in the real world. In this paper, we describe an end-to-end system solution of the re-identification problem installed in an
doi:10.1145/2659021.2659039
dblp:conf/icdsc/LiWKR14
fatcat:cq45j3vl3jhunfhjphfazjqc2m