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Obstacle detection is a hot topic in intelligent visual surveillance system. This paper proposed an automatic obstacle detection method applying to traffic surveillance, which can be used to prevent the traffic accident. In our framework, the images are captured by the traffic surveillance. The GMM (Gaussian Mixture Model) is taken as a short-term(More)
This paper focuses on the sampling-based Deep Packet Inspection for the traffic of P2P file sharing systems, especially for BitTorrent, and proposes a logarithmic-based Adaptive Trust Sampling (ATS) strategy for P2P traffic identification. In the whole process of sampling identification for P2P traffic, the sampling ratio of the current node in a P2P(More)
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