Algorithm of Detecting Abnormal Behavior Based on Optical Flow Method

Abstract

In this paper, an algorithm of detecting abnormal behavior based on optical flow method for the automatic monitoring is proposed. By comparing the "momentum" of the image and the threshold, the algorithm can determine whether abnormal motion occurs or not. For improving the real-time performance, the algorithm which can be applied to real-time video detection of abnormal behavior, reduces the image resolution, sets the region of interest (ROI) and ignores the tiny changes of optical flow points. Furthermore, calculating accumulating alarm is used instead of single frame image alarm, so the misjudgment is avoided effectively. The feasibility and accuracy of the algorithm are verified through the simulation of abnormal behavior video in elevator.