Analytical review on video-based human activity recognition

The objective of this research paper is to analyze the different methods that can be utilized for the analysis and recognition of human activities. The main aim of activity recognition is to automate the analysis of events from videos. Surveillance systems, patient monitoring systems are some of the areas where human activity recognition is required. The paper talks about various object segmentation, image processing and activity recognition method have been systematically analyzed and discussed. A comparative analysis of different action identification method has been performed. The core technique used and procedure followed have also been discussed. We have concluded our finding with the merits and demerits of using method and possible future scope in this area.