Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Activity Representation Using 3D Shape Models | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 347050 16 pages doi 2008 347050 Research Article Activity Representation Using 3D Shape Models Mohamed F. Abdelkader 1 Amit K. Roy-Chowdhury 2 Rama Chellappa 1 and Umut Akdemir3 1 Department of Electrical and Computer Engineering and Center for Automation Research UMIACS University of Maryland College Park MD 20742 USA 2 Department of Electrical Engineering University of California Riverside CA 92521 USA 3 Siemens Corporate Research Princeton NJ 08540 USA Correspondence should be addressed to Mohamed F. Abdelkader mdfarouk@ Received 1 February 2007 Revised 9 July 2007 Accepted 25 November 2007 Recommended by Maja Pantic We present a method for characterizing human activities using 3D deformable shape models. The motion trajectories of points extracted from objects involved in the activity are used to build models for each activity and these models are used for classification and detection of unusual activities. The deformable models are learnt using the factorization theorem for nonrigid 3D models. We present a theory for characterizing the degree of deformation in the 3D models from a sequence of tracked observations. This degree termed as deformation index DI is used as an input to the 3D model estimation process. We study the special case of ground plane activities in detail because of its importance in video surveillance applications. We present results of our activity modeling approach using videos of both high-resolution single individual activities and ground plane surveillance activities. Copyright 2008 Mohamed F. Abdelkader et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Activity modeling and recognition from video is an important problem with many applications
