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báo cáo hóa học:" Research Article Modeling and Visualization of Human Activities for Multicamera Networks"

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 Modeling and Visualization of Human Activities for Multicamera Networks | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 259860 13 pages doi 10.1155 2009 259860 Research Article Modeling and Visualization of Human Activities for Multicamera Networks Aswin C. Sankaranarayanan 1 Robert Patro 2 Pavan Turaga 1 Amitabh Varshney 2 and Rama Chellappa1 1 Department of Electrical and Computer Engineering Center for Automation Research University of Maryland College Park MD 20742 USA 2Department of Computer Science Center for Automation Research University of Maryland College Park MD 20742 USA Correspondence should be addressed to Aswin C. Sankaranarayanan aswch@umiacs.umd.edu Received 6 February 2009 Accepted 21 July 2009 Recommended by Nikolaos V. Boulgouris Multicamera networks are becoming complex involving larger sensing areas in order to capture activities and behavior that evolve over long spatial and temporal windows. This necessitates novel methods to process the information sensed by the network and visualize it for an end user. In this paper we describe a system for modeling and on-demand visualization of activities of groups of humans. Using the prior knowledge of the 3D structure of the scene as well as camera calibration the system localizes humans as they navigate the scene. Activities of interest are detected by matching models of these activities learnt a priori against the multiview observations. The trajectories and the activity index for each individual summarize the dynamic content of the scene. These are used to render the scene with virtual 3D human models that mimic the observed activities of real humans. In particular the rendering framework is designed to handle large displays with a cluster of GPUs as well as reduce the cognitive dissonance by rendering realistic weather effects and illumination. We envision use of this system for immersive visualization as well as summarization of videos that capture group behavior. Copyright 2009 Aswin C. Sankaranarayanan et al. This