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http://dx.doi.org/10.13067/JKIECS.2013.8.11.1647

A Study for Video-based Vehicle Surveillance on Outdoor Road  

Park, Keun-Soo (주.MnSA)
Kim, Hyun-Tae (동의대학교 멀티미디어공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.8, no.11, 2013 , pp. 1647-1654 More about this Journal
Abstract
Detection performance of the vehicle on the road depends on weather conditions, the shadow by the movement of the sun, or illumination changes, etc. In this paper, a vehicle detection system in conjunction with a robust background estimate algorithm to environment change on the road in daytime is proposed. Gaussian Mixture Model is applied as background estimation algorithm, and also, Adaboost algorithm is applied to detect the vehicle for candidate region. Through the experiments with input videos obtained from a various weather conditions at the same actual road, the proposed algorithm were useful to detect vehicles in the road.
Keywords
Outdoor Road; Vehicle Detection; Gaussina Mixture Model; Adaboost;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Saka, A. A. "Intelligent Transportation Systems (ITS) Education and Training : Why Progress is Slow", Third World Congress on Intelligent Transportation Systems, Orlando, Florida. 1996.
2 Tamer Nadeem, Sasan Dashtinezhad, Chunyuan Liao, and Liviu Iftode, "TrafficView: A Scalable Traffic Monitoring System", IEEE International Conference on Mobile Data Management, pp. 13-26, 2004.
3 Iwasaki, Y. and Kurogi, Y., "Real-time robust vehicle detection through the same algorithm both day and night", International Conference on Wavelet Analysis and Pattern Recognition, pp. 1008-1014, 2007.
4 Zehang Sun, Bebis, G., and Miller, R., "Onroad vehicle detection: a review", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 3, No. 5, pp. 694-711, 2006.
5 Bao, Jingang Ying, Jiangqian Hayamizu, Satoru, "Development of traffic analysis system using GIS", The 2-nd International Conference on Information Science and Engineering (ICISE), pp. 3648-3652, 2010.
6 Haixiang Zou Yang Yue Qingquan Li Yonghui Shi, "A spatial analysis approach for describing spatial pattern of urban traffic state", The 13th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 557-562, 2010.
7 K. Gyuyeong, K. Jaeho, K. Hyuntae, P. Jangsik, Y. Yunsik, "Vehicle Tracking Using Euclidean Distance", The journal of the Korea Institute of Electronic Communication Science, Vol. 7, No. 6, pp. 1293-1299, 2012.   과학기술학회마을
8 K. Gyuyeong, K. Hyuntae, P. Jangsik, Y. Yunsik, "Vehicle Tracking Based on Kalman Filter in Tunnel", Springer ISA 2011, CCIS vol. 200, pp. 250-256. 2011.
9 K. Hyuntae, L. Geunhoo, P. Jangsik, Y. Yunsik, "Vehicle Detection in Tunnel using Gaussian Mixture Model and Mathematical MorphologicalProcessing", The Journal of the Korea Institute of Electronic Communication Science, Vol. 7, No. 5, pp. 967-974, 2012.
10 C. Stauffer and W.E.L. Grimson, "Adaptive background mixture models for real-time tracking", Proc.IEEE CVPR 1999, pp. 246-252, June, 1999.
11 Massimo Piccardi, "background subtraction techniques a review", 2004 IEEE International Conference on Systems, Man and Cybernetics, pp. 3099-3104, 2004
12 N. N. Dauoud, B. B. Samir, J. Janier, "Fast Template Matching Method Based Optimized Sum of Absolute Difference Algorithm for Face Localization," International Journal of Computer Applications, Vol. 18, No. 8, 2011.
13 P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features", Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, 2001.