Vehicle Segmentation Approach based on the Space-time and Self-similarity of Background

被引：0

作者：

Qin Zhong ^{[1
]}

Su Guangting ^{[1
]}

Li Donghui ^{[1
]}

Mei Yu ^{[1
]}

He Yiwei ^{[1
]}

Chen Qingsen ^{[1
]}

机构：

[1] Guangzhou Univ, Sch Civil Engn, Guangzhou 510006, Guangdong, Peoples R China

来源：

MATERIALS SCIENCE AND ENGINEERING, PTS 1-2 | 2011年 / 179-180卷

关键词：

Space-time Similarity; Self-similarity; Vehicle Segmentation; Background Rreconstruction;

D O I：

10.4028/www.scientific.net/AMR.179-180.115

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Vehicle segmentation is the key of the traffic video image analysis, the movement state of vehicles can be understudied to get traffic flow parameters. Based on the traffic scene characterized by gradual change, the paper present the background model reconstruction with time-space and self-similarity of background. Video frame image is differenced from background, and binary to get the vehicle template. According to the template, movement vehicle will be segmented from it, the results of the experiment confirmed the effectiveness of algorithm.

引用

页码：115 / 121

页数：7

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