Abstract
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
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
