Detection of fence climbing using activity recognition by Support Vector Machine classifier

Detection of person climbing the fence is a vital event, taking borders and restricted zones securities into the consideration. In this paper, a model is presented which detects the human crossing a fence. Entire event of climbing a fence involve activities like walking, climbing up and climbing down. Moving person is detected by background subtraction algorithm. Centroid of the blob and centroid variations along the frames are considered as features. Support Vector Machine classifier is used for detection of walking, climbing up and climbing down activities. The experiments show the best results in detection of human crossing a fence compared to the existing state of art methods.