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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...
Distributed compressed sensing (DCS), exploiting the correlation among multiple signals, enjoys the advantage of reduced number of measurements. This paper considers a type of joint sparsity model in DCS, where each signal contains a common component and an innovation component. In order to reduce the transmission cost, the measurements are derived as the sign information of the compressed samples...
Many modulated communication signals exhibit a cyclostationarity property, corresponding to the underlying periodicity arising from carrier frequencies or baud rates. By exploiting cyclostationarity, the direction-of-arrival (DOA) estimation can be significantly improved. In this paper, we propose a new two-dimensional (2-D) DOA estimation method that exploits cyclostationarity to enhance the noise...
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