Contour Extraction of Moving Objects Based on PCA/Snake Mixture Model
LI ChunMing1,2, LI YuShan1, ZHANG DaPu1, LIU Yang1
1.Institute of Electronic Computer Aided Design, Xidian University, Xi’an 710071 2.Department of Electronic and Information Engineering, School of Information Science and Engineering, Heibei University of Science and Technology, Shijiazhuang 050054
Abstract Based on a Principal Component Analysis (PCA)/Snake mixture model, an algorithm for contour extraction of moving objects is proposed. Firstly, the moving objects in the image sequences are detected based on an extended PCA model and eigenforground. The extended PCA model can be used directly to process image sequences. Secondly, the precision contour of moving object is extracted based on a Snake model according to the detection result of the moving object. The experimental results show that the proposed algorithm extracts the moving object precisely with a high speed.
[1] Chellappa R, Wilson C L, Sirohey S. Human and Machine Recognition of Faces: A Survey. Proc of the IEEE, 1995, 83(5): 705741 [2] Wang Xiaogang, Tang Xiaoou. A Unified Framework for Subspace Face Recognition. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004, 26(9): 12221228 [3] Turk M, Pentland A. Eigenfaces for Recognition. Journal of Cognitive Neuroscience, 1991, 3(1): 7186 [4] Fredembach C, Schroder M, Susstrunk S. Eigenregions for Image Classification. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004, 26(12): 16451649 [5] Yunen P C, Lai J H. Face Representation Using Independent Component Analysis. Pattern Recognition, 2002, 35(6): 12471257 [6] Tewfik A, Han K. EigenImage Based Video Segmentation and Indexing // Proc of the IEEE International Conference on Image Processing. Santa Barbara, USA, 1997, Ⅱ: 538541 [7] Sahouria E, Zakhor A. Content Analysis of Video Using Principal Components. IEEE Trans on Pattern Analysis and Machine Intelligence, 1999, 9(8): 12901298 [8] Yang Li, Zhang Hong, Li Yushan. Automatic Segmentation for Moving Objects in Video Sequences. Journal of ComputerAided Design & Computer Graphics, 2004, 16(3): 301306 (in Chinese) (杨 莉,张 宏,李玉山.视频运动对象的自动分割.计算机辅助设计与图形学学报, 2004, 16(3): 301306) [9] Forsyth D A, Ponce J. Computer Vision: A Modern Approach. Upper Saddle River, USA: Pearson Education, 2002 [10] Dubuisson M P , Jain A K. Contour Extraction of Moving Objects in Complex Outdoor Scenes. International Journal of Computer Vision, 1995, 14 (1): 83105 [11] Yang Li. Research and Implementation on Algorithm of Image Feature Detection and Moving Objects Segmentation. Ph.D Dissertation. Xi’an, China: Xidian University. Institute of Electronic, 2004 (in Chinese) (杨 莉.图像特征检测与运动目标分割算法的研究和实现.博士学位论文.西安:西安电子科技大学.电子系, 2004)
2007, Vol. 20 
