Abstract
A method is presented for extracting object information from an image sequence taken by a static monocular camera. The method was developed towards a low computational complexity in order to be used in real-time surveillance applications. Our approach makes use of both intensity and edge information of each frame and works efficiently in an indoor environment. It consists of two major parts: background processing and foreground extraction. The background estimation and updating makes the object detection robust to environment changes like illumination changes and camera jitter. The fusion of intensity and edge information allows a more precise estimation of the position of the different foreground objects in a video sequence. The result obtained are quite reliable, under a variety of environmental conditions.
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© 2005 Springer-Verlag Berlin Heidelberg
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Markopoulos, N., Zervakis, M. (2005). Design of a Hybrid Object Detection Scheme for Video Sequences. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_32
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DOI: https://doi.org/10.1007/11558484_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
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