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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905392
