Browse > Article

Illumination Environment Adaptive Real-time Video Surveillance System for Security of Important Area  

An, Sung-Jin (Dept. of Electronic Computer Engineering, Korea University)
Lee, Kwan-Hee (Dept. of Electronic Computer Engineering, Korea University)
Kwon, Goo-Rak (Dept. of Mechatronics, Korea University)
Kim, Nam-Hyung (School of Electrical Engineering, Korea Univeristy)
Ko, Sung-Jea (School of Electrical Engineering, Korea Univeristy)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.2, 2007 , pp. 116-125 More about this Journal
Abstract
In this paper, we propose a illumination environment adaptive real-time surveillance system for security of important area such as military bases, prisons, and strategic infra structures. The proposed system recognizes movement of objects on the bright environments as well as in dark illumination. The procedure of proposed system may be summarized as follows. First, the system discriminates between bright and dark with input image distribution. Then, if the input image is dark, the system has a pre-processing. The Multi-scale Retinex Color Restoration(MSRCR) is processed to enhance the contrast of image captured in dark environments. Secondly, the enhanced input image is subtracted with the revised background image. And then, we take a morphology image processing to obtain objects correctly. Finally, each bounding box enclosing each objects are tracked. The center point of each bounding box obtained by the proposed algorithm provides more accurate tracking information. Experimental results show that the proposed system provides good performance even though an object moves very fast and the background is quite dark.
Keywords
Surveillance system; Object detection; Object tracking; Multi-scale Retinex color restoration;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J.-W. Kim, B.-D. Choi, and S.-J. Ko, 'Realtime Vision-based People Counting System for the Security Door,' Proc. of 2002 International Technical Conference On Circuits Systems computers and Communications, Phuket, July 2002
2 M. Y. Nam and P. K. Rhee, 'An efficient Face Recognition for Variant Illumination Condtion,' IEEE, pp. 111-115, 2004
3 M. Valera and S. A. Velastin, 'Intelligent distributed surveillance sustems : a review,' IEEE Proc-Vis. Image Signal Processing, Vol. 152, no. 2, pp. 192-204, April 2005
4 고성제, 김재원, 'DIPSIM을 이용한 디지털 영상처 리,' 대영사, 64-67쪽, 2002년
5 Gian, L. F., Christian, M, Lauro S., Paolo R., and Tim, E., “Active Video-Based Surveillance System,” IEEE Signal Processing Magazine, pp. 25-37. May 2005
6 W. J. Hwang and H. S. Ko, 'Color Enhancement in Images with Sigle CCD Camera in Night Vision Environment,' Proceeding of ITC-CSCC 2000, Pusan, Korea, pp. 58-61, 2000
7 K. Barnard and B. Funt, 'Investigations into multi-scale retinex,' Colour Imaging in Multimedia '98, Derby, UK, pp. 9-17, March 1998
8 안성진, 이관희, 김남형, 권구락, 고성제 '중요지역 보안을 위한 실시간 영상 감시 시스템,' 대한전자 공학회 하계종합학술대회 논문집, 297-298쪽, 2006 년 6월