A Survey on Different Computer Vision Based Human Activity Recognition for Surveillance Applications

Articulating an individual behavior analysis from a video stream is considered by most researchers. It has its own applications in the field of computer vision-based Human activity recognition (HAR). HAR is the most widely utilized service in many of the systems across surveillance systems, healthcare, online education, and many more areas. Nowadays equally there is also increased interest in the researchers across the HAR community for works to be considered when multiple faces have to be recognized and predict the activity. This paper details the contribution made by the researchers in this aspects recently and also paper gives a comprehensive analysis of the methods adopted and concludes by examining the accuracy of the various work contributed. At last, this paper additionally is given the future directions to deal with for this application.