Videoda Nesne Siniflandirmasi için Siluet Tabanli Yöntem

Yiğithan Dedeoğlu, Moving object detection, tracking and classification for smart video surveillance Bilkent University. ,(2004)

H. Ramoser, T. Schlogl, C. Beleznai, M. Winter, H. Bischof, Shape-based detection of humans for video surveillance applications international conference on image processing. ,vol. 3, pp. 1013- 1016 ,(2003) , 10.1109/ICIP.2003.1247419

A.J. Lipton, H. Fujiyoshi, R.S. Patil, Moving target classification and tracking from real-time video workshop on applications of computer vision. pp. 8- 14 ,(1998) , 10.1109/ACV.1998.732851

J. Heikkila, O. Silven, A real-time system for monitoring of cyclists and pedestrians Versus. pp. 74- 81 ,(1999) , 10.1109/VS.1999.780271

J.K. Aggarwal, Q. Cai, Human Motion Analysis Computer Vision and Image Understanding. ,vol. 73, pp. 428- 440 ,(1999) , 10.1006/CVIU.1998.0744

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

Esther M Arkin, LP Chew, Daniel P Huttenlocher, Klara Kedem, Joseph S Mitchell, CORNELL UNIV ITHACA NY, An efficiently computable metric for comparing polygonal shapes IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 13, pp. 209- 216 ,(1991) , 10.1109/34.75509

Ediz Şaykol, Uğur Güdükbay, Özgür Ulusoy, A histogram-based approach for object-based query-by-shape-and-color in image and video databases Image and Vision Computing. ,vol. 23, pp. 1170- 1180 ,(2005) , 10.1016/J.IMAVIS.2005.07.015

Remco C. Veltkamp, Michiel Hagedoorn, State of the art in shape matching Principles of visual information retrieval. pp. 87- 119 ,(2000) , 10.1007/978-1-4471-3702-3_4

C. Stauffer, W.E.L. Grimson, Adaptive background mixture models for real-time tracking computer vision and pattern recognition. ,vol. 2, pp. 246- 252 ,(1999) , 10.1109/CVPR.1999.784637