Browse > Article
http://dx.doi.org/10.9708/jksci.2012.17.1.071

Fast Vehicle Detection based on Haarlike and Vehicle Tracking using SURF Method  

Yu, Jae-Hyoung (Dept. of Electronic Engineering, Soongsil University)
Han, Young-Joon (Dept. of Information Communication & Electronic Engineering, Soongsil University)
Hahn, Hern-Soo (Dept. of Information Communication & Electronic Engineering, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.1, 2012 , pp. 71-80 More about this Journal
Abstract
This paper proposes vehicle detection and tracking algorithm using a CCD camera. The proposed algorithm uses Haar-like wavelet edge detector to detect features of vehicle and estimates vehicle's location using calibration information of an image. After that, extract accumulated vehicle information in continuous k images to improve reliability. Finally, obtained vehicle region becomes a template image to find same object in the next continuous image using SURF(Speeded Up Robust Features). The template image is updated in the every frame. In order to reduce SURF processing time, ROI(Region of Interesting) region is limited on expended area of detected vehicle location in the previous frame image. This algorithm repeats detection and tracking progress until no corresponding points are found. The experimental result shows efficiency of proposed algorithm using images obtained on the road.
Keywords
Haarlike Feature Extractor; Vehicle Detection; SURF; Vehicle Tracking;
Citations & Related Records
연도 인용수 순위
  • Reference
1 T. Lindeberg, "Feature detection with automatic scale selection," International Journal Of Computer Vision, Vol. 30, No. 3, pp. 79-116, 1998.   DOI
2 K. Mikolajczyk and C. Schmid, "Indexing based on scale invariant interest points," International Conference Computer Vision, Vol. 1 pp. 525-531, July 2001.
3 P. Viola, M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features," Computer Vision And Pattern Recognition, Vol. 1, pp. 511-518, December 2001.
4 C. Liu, "A Bayesian discriminating features method for face detection," IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 25, No. 6, pp. 725 -740, June 2003.   DOI   ScienceOn
5 G. Y. Song, K. Y. Lee, J. W. Lee, "Vehicle Detection Using Edge Analysis and AdaBoost Algorithm," Transactions Of The Korean Society Of Automotive Engineers, Vol. 17, No. 1, pp.1-11, 2009.
6 H. Cheng, N. Zheng, X. Zhang, J. Qin and H. Weter ing, "Interactive Road Situation Analysis for Driver Assistance and Safety Warning Systems : Framework and Algorithms," IEEE Transactions On Intelligent Transportation Systems, Vol. 8, No. 1, pp. 157-167, March 2007.   DOI   ScienceOn
7 K. A. Redmill, S. Upadhya, A. Krishnamurthy and U. Ozguner, "A Lane Tracking Systemfor Intelligent Vehicle Applications," 2001 IEEE Intelligent Transportation Systems Conference Proceedings, pp. 273-279, August ,2001.
8 Z. Sun, G. Bebis and R. Miller, "Monocular Precrash Vehicle Detection : Features and Classifiers," IEEE Transactions On Image Processing, Vol. 15, No. 7, pp. 2019-2034, July 2006.   DOI   ScienceOn
9 G. J. Burghouts, J. M. Geusebroek, "Performance evaluation of local colour invariants," Computer Vision And Image Understanding, Vol. 113, No. 1, pp. 48-62, July 2009.   DOI   ScienceOn
10 C. C. R. Wang and J. J. J. Lien, "Automatic Vehicle Detection Using Local FeaturesA Statistical Approach," IEEE Transactions On Intelligent Transportation Systems, Vol. 9, No. 1, pp. 83-96 March 2008.   DOI   ScienceOn
11 K. van de Sande, T. Gevers, C. Snoek, "A comparison of color features for visual concept classification," Conference On Image And Video Retrieval, pp. 141-150, July 2008.
12 K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 27, No. 10, pp. 1615-1630, Februrary 2005.   DOI   ScienceOn
13 D. Lowe, "Distinctive Image Features from Scale-I nvariant Keypoints," Int'L J. Computer Vision ,Vol. 60, No. 2, pp. 91-110, January 2004.   DOI   ScienceOn
14 H. Bay, T. Tuytelaars, and L. V. Gool, "Surf: Spe eded up robust features," European Conference On Computer Vision, Vol. 3951, pp. 404-417, May 2006.
15 C. Harris and M. Stephens, "A Combined Corner and Edge Detector," Proc. Alvey Vision Conf., pp. 147-151, 1988.