Real-time human motion analysis by image skeletonization
作者： Hironobu Fujiyoshi , Alan J Lipton , Takeo Kanade
关键词:
摘要: … These cues, when taken together can be used to classify the motion of an erect human as “walking” or “running”. This paper is organized as follows: section 2 describes how moving targets are extracted in real-time from a video stream, Sect. 3 describes the processing of these target images and Sect. 4 describes …
ieeecomputersociety.org
acm.org 参考文章(8)
I. Haritaoglu, D. Harwood, L.S. Davis, W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people ieee international conference on automatic face and gesture recognition. pp. 222- 227 ,(1998) , 10.1109/AFGR.1998.670952
G. S. van der Wal, C. H. Anderson, P. J. Burt, Change Detection and Tracking Using Pyramid Transform Techniques Intelligent Robots and Computer Vision IV. ,vol. 0579, pp. 72- 78 ,(1985) , 10.1117/12.950785
M. Oren, C. Papageorgiou, P. Sinha, E. Osuna, T. Poggio, Pedestrian detection using wavelet templates computer vision and pattern recognition. pp. 193- 199 ,(1997) , 10.1109/CVPR.1997.609319
S.X. Ju, M.J. Black, Y. Yacoob, Cardboard people: a parameterized model of articulated image motion international conference on automatic face and gesture recognition. pp. 38- 44 ,(1996) , 10.1109/AFGR.1996.557241
Ping-Sing Tsai, Mubarak Shah, Katharine Keiter, Takis Kasparis, Cyclic motion detection for motion based recognition Pattern Recognition. ,vol. 27, pp. 1591- 1603 ,(1994) , 10.1016/0031-3203(94)90079-5
C.R. Wren, A. Azarbayejani, T. Darrell, A.P. Pentland, Pfinder: real-time tracking of the human body IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 19, pp. 780- 785 ,(1997) , 10.1109/34.598236
J.W. Davis, A.F. Bobick, The representation and recognition of human movement using temporal templates computer vision and pattern recognition. pp. 928- 934 ,(1997) , 10.1109/CVPR.1997.609439
J. L. Barron, D. J. Fleet, S. S. Beauchemin, Performance of optical flow techniques International Journal of Computer Vision. ,vol. 12, pp. 43- 77 ,(1994) , 10.1007/BF01420984