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Crowd understanding has drawn increasing attention from the computer vision community, and its progress is driven by the availability of public crowd datasets. In this paper, we contribute a large-scale benchmark dataset collected from the Shanghai 2010 World Expo. It includes $2630$ annotated video sequences captured by $245$ surveillance cameras, far larger than any public dataset. It covers a large...
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