01653nas a2200253   4500000000100000000000100001008004100002260001200043653001300055653003700068653001600105653002300121653002300144100002500167700001800192700001800210700002200228245006300250856009800313300000900411490000600420520095900426022001401385       2014                            d  c09/201410aPatterns10aHuman-Computer Interaction (HCI)10aRecognition10aFeature Extraction10aVideo Surveillance1 aVijay Bhaskar-Semwal1 aPushkar Dixit1 aNishant Singh1 aJay Prakash Gupta00aAnalysis of Gait Pattern to Recognize the Human Activities  uhttp://www.ijimai.org/JOURNAL/sites/default/files/files/2014/09/ijimai20142_7_1_pdf_23675.pdf  a7-160 v23 aHuman activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activities through gait. Activity recognition through Gait is the process of identifying an activity by the manner in which they walk. The identification of human activities in a video, such as a person is walking, running, jumping, jogging etc are important activities in video surveillance. We contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that our method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the videos.  a1989-1660