Fight Detection Based On Hidden Markov Model

被引：0

作者：

Liu, Dejian ^{[1
]}

Wu, Jinyong ^{[1
]}

Wang, Yike ^{[1
]}

Wang, Jun ^{[1
]}

Gong, Zhuo ^{[1
]}

机构：

[1] AnKe Smart City Technol PRC Co Ltd, R&D Dept, Shenzhen 518034, Peoples R China

来源：

2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2012年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel approach to detect human fights based on Hidden Markov Model (HMM). We present two HMM models to the problem. The first one is Fight Model, the second is Ordinary Model. According to the motion analysis between people in the scene, features for human behavior have been proposed. Given the observation value of features in time sequence, the probability can be evaluated by two Models. The larger value means that the Model is the suitable one to describe what happens in the scene. Experimental result demonstrats that the method is robust and efficient in detecting human fight behaviors.

引用

页码：658 / 661

页数：4

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