DocumentCode
1742769
Title
Automatic generation of the statistical model of a non-rigid object in a multiple-camera environment
Author
Marcenaro, Lucio ; Regazzoni, Carlo S. ; Vernazza, Gianni
Author_Institution
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Volume
1
fYear
2000
fDate
2000
Firstpage
530
Abstract
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 principal component analysis algorithm. Snakes and dynamic contours are used to describe the shape of the non-rigid object
Keywords
computer vision; edge detection; learning (artificial intelligence); optical tracking; principal component analysis; dynamic contours; learning algorithm; multiple-camera environment; nonrigid object; principal component analysis; snakes; statistical model; tracking; Active shape model; Deformable models; Humans; Layout; Mathematical model; Motion detection; Object detection; Principal component analysis; Spline; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.905392
Filename
905392
Link To Document