Automatic generation of the statistical model of a non-rigid object in a multiple-camera environment

被引：0
|
作者：
Marcenaro, L [1 ]
Regazzoni, CS [1 ]
Vernazza, G [1 ]
机构：
[1] Univ Genoa, DIBE, Dept Biophys & Elect Engn, I-16126 Genoa, Italy
来源：
15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS: COMPUTER VISION AND IMAGE ANALYSIS | 2000年
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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：
A new method for modeling non-rigid objects in a multiple-camera guarded environment is proposed. The statistical model of the shape of a non-rigid object takes into account the correlations between different points of view. The model is automatically generated by processing a typical training set for the considered shape by a PCA (Principal Component Analysis) algorithm. Snakes and dynamic contours are used to describe the shape of the non-rigid object.
引用
收藏
页码：530 / 533
页数：4
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