Human action recognition using shape and CLG-motion flow from multi-view image sequences

作者: Mohiuddin Ahmad , Seong-Whan Lee

DOI: 10.1016/J.PATCOG.2007.12.008

关键词:

摘要: … for human action recognition from multi-view … , human action is represented as a set of multidimensional CLG optic flow and shape flow feature vectors in the spatial–temporal action …

参考文章(50)
Stefan Carlsson, Josephine Sullivan, Action Recognition by Shape Matching to Key Frames ,(2002)
G. Rigoll, F. Wallhoff, M. Zobl, Action Recognition in Meeting Scenarios using Global Motion Features Proc. of Fourth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS-ICVS), Graz, Austria. ,(2003)
Horst Bunke, Terry Caelli, Hidden Markov models: applications in computer vision World Scientific. ,(2001) , 10.1142/4648
Steven M. Seitz, Charles R. Dyer, View-Invariant Analysis of Cyclic Motion International Journal of Computer Vision. ,vol. 25, pp. 231- 251 ,(1997) , 10.1023/A:1007928103394
J. Yamato, J. Ohya, K. Ishii, Recognizing human action in time-sequential images using hidden Markov model computer vision and pattern recognition. pp. 379- 385 ,(1992) , 10.1109/CVPR.1992.223161
B.U. Toreyin, Y. Dedeoglu, A.E. Cetin, HMM Based Falling Person Detection Using Both Audio and Video signal processing and communications applications conference. pp. 1- 4 ,(2006) , 10.1109/SIU.2006.1659753
J.K. Aggarwal, Q. Cai, Human Motion Analysis Computer Vision and Image Understanding. ,vol. 73, pp. 428- 440 ,(1999) , 10.1006/CVIU.1998.0744
Chee-Way Chong, P. Raveendran, R. Mukundan, Translation invariants of Zernike moments Pattern Recognition. ,vol. 36, pp. 1765- 1773 ,(2003) , 10.1016/S0031-3203(02)00353-9
R. Venkatesh Babu, B. Anantharaman, K.R. Ramakrishnan, S.H. Srinivasan, Compressed domain action classification using HMM Pattern Recognition Letters. ,vol. 23, pp. 1203- 1213 ,(2002) , 10.1016/S0167-8655(02)00067-3
C. Schuldt, I. Laptev, B. Caputo, Recognizing human actions: a local SVM approach international conference on pattern recognition. ,vol. 3, pp. 32- 36 ,(2004) , 10.1109/ICPR.2004.747