关键词: 事件检测, 事件语义模板, 空间位置关系, 改进伪Zernike矩（IPZM）, 目标跟踪

Abstract: This paper presents a new method based on spatial relationship among objects and event semantics template to detect violent event in self-service banking. The method gets the silhouette by the background subtraction algorithm in which the background updates adaptively, and counts the number of the people in the video. Then, it tracks the people using particle filter and mean shift method, and computes the distance between the persons. The fast event semantics match template method and a shape description vector consisting of seven improved pseudo-
Zernike moments (IPZM) are combined to detect abnormal event. Experimental results show the method is effective for the practical application.

Key words: event detection, event semantics template, spatial relationship, improved pseudo-Zernike moments (IPZM), object tracking