Detection of Abnormal Motions in Video
نویسندگان
چکیده
This paper describes an approach to detect abnormal motion in videos. The core of the approach detects portion of video that corresponds to sudden changes of motion variations of a set of defined points of interest. Optical flow technique tracks those points of interest. There are sufficient variations in the optical flow patterns in a mob scene when there are cases those showing abnormalities. The geometric clustering algorithm, k-means, clusters the obtained optical flow information to get the distance between two consecutive frames. In general, comparatively high distance indicates abnormal motion. To demonstrate the interest of the approach, we present the results based on the detection of abnormal motions in video, which consists of both normal and abnormal motions.
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تاریخ انتشار 2008