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Survey on Human Activity Recognition Techniques For Video Surveillance

Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents’ actions and the environmental conditions. Vision-based activity recognition is a very important and challenging problem to track and understand the behavior of agents through videos taken by various cameras. The primary technique employed is computer vision. Vision-based activity recognition has found many applications such as human-computer interaction, user interface design, robot learning, and surveillance, among others. This report describes the literature served for developing human activity recognition algorithm and a novel approach to it.