Anomaly Detection in Surveillance Video Using Pose Estimation
Anomalous events are generally infrequent, sparse,and unpredictable. Detection of people and continuously monitoring them and base on the human activity detecting anomaly event is challenging task. In this paper, we focus on keypoints detection of a person. We judge the abnormal behavior of the person by detecting the motion of key-points of that person. In the starting frame we select a bounding box. If some number of key-points are moved out of the bounding box then system gives an alert message.
 Meina Qiao, Tian Wang, Jiakun Li1, Ce Li, Zhiwei Lin, Hichem Snoussi,
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