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http://dx.doi.org/10.12815/kits.2016.15.4.153

A Study on the Background Image Updating Algorithm for Detecting Fast Moving Objects  

Park, Jong-beom (Hanyang Women's Univ.)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.15, no.4, 2016 , pp. 153-160 More about this Journal
Abstract
A developed skill of an intelligent CCTV is also advancing by using its Image Acquisition Device. The most important part in the field of detecting comparatively fast moving objects is to effectively reduce the loads on updating the background image in order to achieve real-time update. However, the ability of the current general-purpose computer extracting the texture as characteristics has limits in application mostly due to the loads on processes. In this thesis, an algorithm for real-time updating the background image in an applied area such as detecting the fast moving objects like a driving car in a video of at least 30 frames per second is suggested and the performance is analyzed by a test of extracting object region from real input image.
Keywords
Detecting Fast Moving Objects; Background Image; Real-Time Update; Image Acquisition Device; Intelligent CCTV;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Sormann M., Zach C. and Karner K.(2006), "Graph Cut based Multiple View Segmentation for 3D Reconstruction," Proceedings of IEEE International Symposium on 3D Data Processing, Visualization, and Transmission, pp.1085-1092.
2 Min B. M. and Oh S.(2006), "A Study on Object Tracking using Variable Search Block Algorithm," The KIPS Transactions. Part B Part B / v.13B, no. 4, pp.463-470.   DOI
3 Park J. B.(2013), "A Study on the Revised Method using Normalized RGB Features in the Moving Object Detection by Background Subtraction," Journal of The Korea Institute of Intelligent Transport Systems, vol. 12, no. 6, pp.108-115.   DOI
4 Jang T. W.(2013), "A Study on Intelligent CCTV Surveillance System Based on Realtime Tracking Technology," University of Soongsil, Ph. D. Dissertation.
5 Kim Y. J. and Kim D. H.(2013), "Smart Phone Based Image Processing Methods for Motion Detection of a Moving Object via a Network Camera," Journal of Control. Robotics and Systems, vol. 19, no. 1, pp.65-71.   DOI
6 Stauffer C. and Grimson W. E. L.(1999), "Adaptive Background Mixture Models for Real-Time Tracking," Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp.246-252.
7 Image Processing Toolbox, Chapter 9.(2001), Morphological Operations, The Mathworks.
8 GoldluFcke B. and Magnor M. A.(2003), "Joint 3D Reconstruction and Background Separation in Multiple Views using Graph Cuts," Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, vol. 1, pp.683-688.