HUMAN ACTION RECOGNITION BASED ON MOTION DESCRIPTOR (2020)
Yogish Naik G R JCR. 2020: 1904-1908
A difficult challenge in computer vision is deciphering human activity from videos. The primary capability of smart video surveillance systems is the automatic identification of human actions in the recorded sequence and the tagging of such actions. The aim of recognition of human behavior is to recognize the activities and purposes of any number of things through a series of investigations into those actions and those of the objects' surroundings. With the emergence of vast quantities of human-centric video data due to technological advancements, the efficient identification of human action from huge video data has become a bottleneck in video processing.
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