tailieunhanh - Báo cáo hóa học: " Editorial Advanced Video-Based Surveillance"

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: Editorial Advanced Video-Based Surveillance | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2011 Article ID 857084 2 pages doi 2011 857084 Editorial Advanced Video-Based Surveillance Luigi Di Stefano 1 Carlo Regazzoni EURASIP Member 2 and Dan Schonfeld3 department of Electronics Computer Science and Systems DEIS Faculty of Engineering University of Bologna Viale Risorgimento 2 40136 Bologna Italy department of Biophysical and Electronic Engineering Faculty of Engineering University of Genoa Via All Opera Pia 11A 16126 Genoa Italy department of Electrical and Computer Engineering University of Illinois at Chicago Room 1020 SEO M C154 851 South Morgan Street Chicago IL 60607-7053 USA Correspondence should be addressed to Luigi Di Stefano Received 9 March 2011 Accepted 9 March 2011 Copyright 2011 Luigi Di Stefano 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. Over the past decade we have witnessed a tremendous growth in the demand for personal security and defense of vital infrastructure throughout the world. At the same time rapid advances in video-based surveillance have emerged and offered a strategic technology to address the demands imposed by security applications. These events have led to a massive research effort devoted to the development of effective and reliable surveillance systems endowed with intelligent video-processing capabilities. As a result advanced video-based surveillance systems have been developed by research groups from academia and industry alike. In broad terms advanced video-based surveillance could be described as intelligent video processing designed to assist security personnel by providing reliable real-time alerts and to support efficient video analysis for forensics investigations. This special issue presents recent theoretical and practical

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