Title :
A Combined Pca/Snake Model for Precise Object Contour Extraction
Author :
Li, C.M. ; Li, Y.S. ; Zhang, D.P. ; Liu, Y.
Author_Institution :
Xidian Univ., Xian
Abstract :
An extended PCA algorithm to extract moving objects is presented in this paper. In the algorithm, three frames are sufficient for the extraction of for rigid or non-rigid objects. In order to obtain a precise contour of moving object, a snake model is adopted to process the object detection results. In our experiments, a range of image sequences is used to test the combined PCAsnake model. The results show that the proposed algorithm can extract the moving objects accurately and its speed is improved over the conventional PCA model.
Keywords :
image segmentation; image sequences; object detection; principal component analysis; extended PCA algorithm; image segmentation; image sequence; object contour extraction; object detection; principal component analysis; snake model; Automation; Feature extraction; Image processing; Image segmentation; Image sequences; Independent component analysis; Object detection; Principal component analysis; Shape; Testing; Contour Extraction; Eigen-object; Moving Object; PCA; Snake Algorithm;
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
DOI :
10.1109/WAC.2006.375741