Tracking and segmenting people in varying lighting conditions using colour

被引：74

作者：

Raja, Y ^{[1
]}

McKenna, SJ ^{[1
]}

Gong, SG ^{[1
]}

机构：

[1] Univ London Queen Mary & Westfield Coll, Dept Comp Sci, Machine Vis Lab, London E1 4NS, England

来源：

AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/AFGR.1998.670953

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densities of colour for skin, clothing and background These models were used to detect, track and segment people, faces and hands. A technique for dynamically updating the models to accommodate changes in apparent colour due to varying lighting conditions was used. Two applications are highlighted: (1) actor segmentation for virtual studios. and (2) focus of attention for face and gesture recognition systems. A system implemented on a 200MHz PC tracks multiple objects in real-time.

引用

页码：228 / 233

页数：2