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Hybrid camera surveillance system using robust human detection
Author(s) -
Iwata Kenji,
Satoh Yutaka,
Yoda Ikushi,
Sakaue Katsuhiko
Publication year - 2008
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10006
Subject(s) - artificial intelligence , computer vision , computer science , background subtraction , segmentation , face (sociological concept) , face detection , calibration , camera resectioning , feature (linguistics) , feature extraction , facial recognition system , pixel , mathematics , statistics , philosophy , sociology , social science , linguistics
We propose a novel surveillance system that uses a hybrid camera network. The system contains a panoramic camera and PTZ cameras to take the wide range images and face images at high enough resolution for identification tasks. The robust human detection methods include robust background subtraction method (RRC), skin color segmentation, and face tracking method. First, the system detects persons from a panoramic image, and then the detailed face images are obtained with the PTZ cameras. The PTZ cameras can track the faces using the four directional features and the relaxation matching. In addition, the system has an automatic camera position calibration feature. Thus, the user can use the system without any troublesome settings. © 2009 Wiley Periodicals, Inc. Electron Comm Jpn, 91(11): 11–18, 2008; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecj.10006