Real-Time Crowd Behavior Detection using SIFT Features in Video Sequences - Tapa blanda

Sinopsis

These days Crowd behavior detection in video surveillance is a latest research area in the field of computer vision. It focuses on the demanding assignment of monitoring crowded events for outbreaks of violent behavior. Such scenes have a need of human assessor to monitor multiple video screens, presenting crowds of people in a frequently changing sea of activity. Crowd behavior detection is a significant trouble which focuses on researcher in diverse research areas and its applications. It is corresponding to the detection of events, pedestrians and observations

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