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Understanding traffic density from large-scale web camera (webcam) videos is a challenging problem because such videos have low spatial and temporal resolution, high occlusion and large perspective.
The approximation of one matrix by another of lower rank
C. Eckart and G. Young · 1936
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Earlier work this paper cites.
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Introduction to modern traffic flow theory and control: the long road to three-phase traffic theory
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S. Ren, K. He, R. Girshick, and J. Sun · 2015
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E. Toropov, L. Gui, S. Zhang, S. Kottur, and J. M. F. Moura · 2015
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C. Zhang, H. Li, X. Wang, and X. Yang · 2015
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Crossing-line crowd counting with two-phase deep neural networks
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