A real time human detection system based on far infrared vision

被引：0
|
作者：
Benezeth, Yannick [1 ]
Emile, Bruno [1 ]
Laurent, Helene [1 ]
Rosenberger, Christophe [2 ]
机构：
[1] Univ Orleans, ENSI Bourges, Inst Prisme, 88 Blvd Lahitolle, F-18020 Bourges, France
[2] Univ Caen, CNRS, Lab GREYC, ENSICAEN, F-14032 Caen, France
来源：
IMAGE AND SIGNAL PROCESSING | 2008年 / 5099卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present in this article a human detection and tracking algorithm using infrared vision in order to have reliable information on a room occupation. We intend to use this information to limit energetic consumption (light, heating). We perform first, a foreground segmentation with a Gaussian background model. A tracking step based on connected components intersections allows to collect information on 2D displacements of moving objects in the image plane. A classification based on a cascade of boosted classifiers is used for the recognition. Experimental results show the efficiency of the proposed algorithm.
引用
收藏
页码：76 / +
页数：3
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