Background Subtraction with Multispectral Images Using Codebook Algorithm

被引：4
|
作者：
Liu, Rongrong [1 ]
Ruichek, Yassine [1 ]
El Bagdouri, Mohammed [1 ]
机构：
[1] Univ Bourgogne Franche Comte, UTBM, CNRS, LE2i FRE2005,Arts & Metiers, F-90010 Belfort, France
来源：
ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2017) | 2017年 / 10617卷
关键词：
Background subtraction; Multispectral images; Codebook; Moving object detection;
D O I：
10.1007/978-3-319-70353-4_49
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Detecting moving objects from a video sequence based on conventional images have reached a significant level of maturity with some practical success. However, their performance may degrade under illumination changes. To solve this, the advantages of using multispectral images for background subtraction is investigated and tested over several multispectral videos using codebook algorithm in this paper. Experimental results show that multispectral images represent a viable better alternative to conventional images in the search of robust detection and motion analysis of moving objects.
引用
收藏
页码：581 / 590
页数：10
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