Suspicious Activity Detection in Recorded and Live Surveillance

Video surveillance is a tiresome task to perform by a human. Anomaly events are factored by body gestures and head movements of a person. Body gestures of a crowd or a person are only considered for video surveillance when they are in a detectable range from the camera and head movements are considered when a person's face is close enough to the video surveillance, so the necessary facial features are examined. In this paper, we aim to detect abnormal activities by first calculating the facial distance to trigger the necessary modules based on the generated focal length through the camera. The abnormal activity detection module is triggered when the threshold distance is crossed and the head movement module is called when the face detected is close enough to the camera. The abnormal event notification is promptly sent to the entitled person so that necessary actions are taken.