Comparative study on foreground detection algorithms for human detection

被引：8

作者：

Benezeth, Y. ^{[1
]}

Emile, B. ^{[1
]}

Rosenberger, C. ^{[1
]}

机构：

[1] Univ Orleans, ENSI Bourges, UPRES EA 2078, Lab Vis & Robot, 88 Blvd Lahitolle, F-18020 Bourges, France

来源：

PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICS | 2007年

关键词：

D O I：

10.1109/ICIG.2007.68

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The objective of this paper is to develop an approach to objectively evaluate foreground detection algorithms. The purpose of the desired application is human. detection in images sequences. This paper presents in a first part the state of the art on foreground detection algorithms. In a second part, we use realistic synthetic videos to perform our evaluation. This kind of videos is very interesting for the evaluation study because it permits to evaluate the influences of some artifacts (changing light, video quality shadow). We use a common metric to quantify the efficiency of the 11 selected algorithms. Time computation is also considered.

引用

页码：661 / +

页数：2

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