Abstract
We propose a novel surveillance system that uses hybrid camera network. The system contains a Stereo Omni-directional System (SOS) and PTZ cameras to take the wide range images and face images of enough resolution for identification. The SOS can capture both omni-directional color images and range data simultaneously in real time. The robust human detection methods include robust background subtraction method (RRC), skin color segmentation and face tracking method. First, the system detects persons from an omni-directional image, and then the detailed face images are obtained with the PTZ cameras. The PTZ cameras can track the faces by using the four directional features and the relaxation matching. In addition, the system has automatic camera position calibration feature. Thus, the user can use the system without any troublesome settings.
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© 2006 Springer-Verlag Berlin Heidelberg
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Iwata, K., Satoh, Y., Yoda, I., Sakaue, K. (2006). Hybrid Camera Surveillance System by Using Stereo Omni-directional System and Robust Human Detection. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_61
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DOI: https://doi.org/10.1007/11949534_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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