Title :
Computer vision based analysis of the botanical tree´s dynamical behaviors for the reproduction in virtual space
Author :
Lu, LiangChen ; Ohya, Jun
Author_Institution :
Dept. of CS & IE, Tamkang Univ., Tamsui
Abstract :
The paper deals with a method that analyzes a botanical tree´s behaviors in real space by a computer vision approach so as to reproduce the analyzed behavior in virtual space. Instead of applying unstable local tracking to the tree in a video sequence, we estimate the direction and strength of the wind that shakes the tree by a learning based method that classifies the input video sequence into one of the stored winds with different directions and strengths. In the learning phase, sample video sequences are used for constructing the eigenspace and Fisherspace, which is obtained from Fisher discriminant analysis. In the classification phase, the input video sequence is compared with each of the stored sample sequences so that the direction and strength of the wind are estimated. An interpolation method improves the estimation accuracy. Experimental results demonstrate the effectiveness of the proposed method
Keywords :
computer vision; eigenvalues and eigenfunctions; image sequences; interpolation; meteorology; parameter estimation; pattern classification; video signal processing; wind; Fisher discriminant analysis; Fisherspace; botanical tree behavior; botanical tree dynamic behavior; classification phase; computer vision based analysis; eigenspace; interpolation method; learning based method; unstable local tracking; video sequence; virtual space; wind direction estimation; wind strength estimation; Animation; Computer vision; Image motion analysis; Information analysis; Intelligent networks; Interpolation; Learning systems; Phase estimation; Principal component analysis; Video sequences;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394331
