Human Activity Detection and Recognition Algorithm from Video Surveillances.

This paper presents a novel approach for automatic recognition of human activities from video sequences. Visual study of human motion is currently one of the most active research topics in computer vision. This strong interest is determined by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc. Human motion analysis concerns the detection, tracking and recognition of people. This paper includes the tracking of human activity from video sequencing images. Here we first make frames from video and apply GMM on it. Using HMM we classify the activity and detect the activity. The importance is on three major issues involved in a general human motion analysis system, namely human detection, tracking and activity understanding.