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
收藏
页码：376 / 378
页数：3
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