Tracking Multiple People Online and in Real Time

نویسندگان

  • Ergys Ristani
  • Carlo Tomasi
چکیده

Tracking multiple people online and in real time Report Title We cast the problem of tracking several people as a graph partitioning problem that takes the form of an NP-hard binary integer program. We propose a tractable, approximate, online solution through the combination of a multistage cascade and a sliding temporal window. Our experiments demonstrate significant accuracy improvement over the state of the art and real-time post-detection performance. Conference Name: Asian Conference on Computer Vision Conference Date: November 01, 2014 Tracking Multiple People Online and in Real Time Ergys Ristani, Carlo Tomasi

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تاریخ انتشار 2014