Background Subtraction for Vehicle Detection

被引：0

作者：

Varghese, Arun ^{[1
]}

Sreelekha, G. ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect & Commun Engn, Calicut, Kerala, India

来源：

2015 GLOBAL CONFERENCE ON COMMUNICATION TECHNOLOGIES (GCCT) | 2015年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose a background subtraction method for segmenting vehicles from background in a video sequence. Our method can be considered as a hybrid of two existing methods. The background is modelled per-pixel with a collection of pixel values. The foreground/background decision is based on whether the current pixel value finds a match with the samples in the model. The matching samples in the model are adapted towards the current pixel value with a learning parameter. Evaluation tests on the public CDnet dataset shows good results in a highway scenario.

引用

页码：376 / 378

页数：3

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