A Deep Survey on Human Activity Recognition in Video Surveillance

Recognition of the activities of human from videos has garnered numerous demands in Computer Vision This paper focuses on the literature reviews on different ways of Human Activity Recognition (HAR) in different types of videos by recognizing human activities in videos using different techniques such as, feature extraction, object segmentation, bag of word, Hidden markov model etc. Human Activity recognition is used in various applications such as Human-Computer Interaction, Human fall detection, Ambient Intelligence, Video Indexing, Content-based Video Analytics, Robotics, Visual Surveillance. The intention for this deep survey is to identify activities of humans in different environments using divergent techniques