Human Activity Detection Using Pose Net
P Sudharshan Duth, B S Poojashree · 2022
Human detection and tracking is one of the important study fields that has attracted a lot of attention recently.Despite the fact that commercially available technologies for human identification and counting are now available, further experimentation is required in order to address the challenges. Abnormality detection, commonly called automated video surveillance, is the way of noticing and describing human behaviour and interactions in a crowded setting. People must be discovered and tracked in order to maintain reliability, welfare, and site management. Object identification is a critical stage in abnormality detection and automated video surveillance. Background subtraction is a technique for detecting human actions in video segments. The frequent technique for distinguishing moving objects from motionless images Background subtraction is the technique of detaching foreground objects from the background in a sequence of video frames, as the label implicit. In this scenario, the primary purpose of abnormality detection is to recognise and track a moving object using video recorded images and pose net.