一种用于视觉监控系统的事件识别方法

2008 Second International Conference on Future Generation Communication and Networking Symposia Pub Date : 2008-12-13 DOI:10.1109/FGCNS.2008.36

Yaohuan Cui, C. Lee

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引用次数: 0

摘要

本文提出了一种新的基于视觉的方法，通过运动分析来识别视频序列中的进入和退出事件。在没有传感器的情况下，该方法结合了边缘检测、运动历史图像和MHI序列中人体形状的几何特征，对人体形状和服装具有不变性。该方法在视觉监控、计算机视觉等领域具有广泛的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Approach to Event Recognition for Visual Surveillance Systems

In this paper, we propose a new vision based method to recognize the entering and exiting events from video sequences via motion analysis. Without sensors, the proposed approach is invariant to body shape and clothing as a combination of edge detection, motion history image and geometrical characteristic of the human shape in MHI sequences. The proposed method includes several applications such as access control in visual surveillance and computer vision fields.

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2008 Second International Conference on Future Generation Communication and Networking Symposia

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