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Báo cáo hóa học: " Research Article Active Video Surveillance Based on Stereo and Infrared Imaging"

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 Active Video Surveillance Based on Stereo and Infrared Imaging | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 380210 8 pages doi 10.1155 2008 380210 Research Article Active Video Surveillance Based on Stereo and Infrared Imaging Gabriele Pieri and Davide Moroni Institute of Information Science and Technologies Via G. Moruzzi 1 56124 Pisa Italy Correspondence should be addressed to Gabriele Pieri gabriele.pieri@isti.cnr.it Received 28 February 2007 Accepted 22 September 2007 Recommended by Eric Pauwels Video surveillance is a very actual and critical issue at the present time. Within this topics we address the problem of firstly identifying moving people in a scene through motion detection techniques and subsequently categorising them in order to identify humans for tracking their movements. The use of stereo cameras coupled with infrared vision allows to apply this technique to images acquired through different and variable conditions and allows an a priori filtering based on the characteristics of such images to give evidence to objects emitting a higher radiance i.e. higher temperature . Copyright 2008 G. Pieri and D. Moroni. 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 Recognizing and tracking moving people in video sequences is generally a very challenging task and automatic tools to identify and follow a human target are often subject to constraints regarding the environment under investigation the characteristics of the target itself and its full visibility with respect to the background. Current approaches regarding real-time target tracking are based on i successive frame differences 1 using also adaptive threshold techniques 2 ii trajectory tracking using weak perspective and optical flow 3 and iii region approaches using active contours of the target and neural networks for movement