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In automated video surveillance applications, detection of suspicious human behaviour is of great practical importance. However due to random nature of human movements, reliable classification of suspicious human movements can be very difficult. Defining an approach to the problem of automatically tracking people and detecting unusual or suspicious movements in Closed Circuit TV (CCTV) videos is our...
In this paper, we propose a novel approach for synchronizing multiple videos captured from common laparoscopic operations in simulation-based surgical training. The disparate video sources include two hand-view sequences and one tool-view sequence that does not contain any visual overlap with the hand views. The synchronization of the video is essential for further visual analysis tasks. To the best...
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