Video based vehicle detection technology is an integral part of Intelligent Transportation System (ITS), due to its non-intrusiveness and comprehensive vehicle behavior data collection capabilities. This paper proposes an efficient video based vehicle detection system based on Harris-Stephen corner detector algorithm. The algorithm was used to develop a stand alone vehicle detection and tracking system that determines vehicle counts and speeds at arterial roadways and freeways. The proposed video based vehicle detection system was developed to eliminate the need of complex calibration, robustness to contrasts variations, and better performance with low resolutions videos. The algorithm performance for accuracy in vehicle counts and speed was evaluated. The performance of the proposed system is equivalent or better compared to a commercial vehicle detection system. Using the developed vehicle detection and tracking system an advance warning intelligent transportation system was designed and implemented to alert commuters in advance of speed reductions and congestions at work zones and special events. The effectiveness of the advance warning system was evaluated and the impact discussed.
KeywordsVehicle DetectionVideo and Image ProcessingAdvance Warning Systems
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Rich Hall, “The Case for Automated Incident Detection in Tunnels, Iteris White Paper, 2011.
A. Yilmaz, O. Javed and M. Shah, “Object Tracking: A Survey,” ACM Computing Surveys, Vol. 38, No. 13, 2006.
H. Moravec, “Visual Mapping by a Robot Rover,” Proceedings of the International Joint Conference on Artificial Intelligence, 1979, pp. 598-600.
C. Harris and M. Stephens, “A Combined Corner and Edge Detector,” The 4th Alvey Vision Conference, Manchester, 31 August-2 September 1988, pp. 147-151. doi:10.1023/B:VISI.0000029664.99615.94
D. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints,” International Journal of Computer Vision, Vol. 60, No. 2, 2004, pp. 91-110.
J. Shi and C. Tomasi, “Good Features to Track,” IEEEConference on Computer Vision and Pattern Recognition, Seattle, 21-23 June 1994, pp. 593-600.
K. Shimizu and N. Shigehara, “Image Processing System Used Cameras for Vehicle Surveillance,” IEEE Second International Conference on Road Traffic Monitoring, London, 7-9 February 1989, pp. 61-65.
A. Kuehnel, “Symmetry Based Recognition of the Vehicle Rears,” Pattern Recognition Letters, Vol. 12, No. 4, 1991, pp. 249-258. doi:10.1016/0167-8655(91)90039-O
C. Goerick, N. Detlev and M. Werner, “Artificial Neural Networks in Realtime Car Detection and Tracking Applications,” Pattern Recognition Letters, Vol. 17, No. 4, 1996, pp. 335-343. doi:10.1016/0167-8655(95)00129-8
N. Srinivasa, “A Vision-Based Vehicle Detection and Tracking Method for Forward Collision Warning,” IEEE Intelligent Vehicle Symposium, Malibu, 17-21 June 2002, pp. 626-631.
C. L. Wan, K. W. Dickinson and T. D. Binnie, “A Cost-Effective Image Sensor System for Transport Applications Utilizing a Miniature CMOS Single Chip Camera,” Proceedings of the IFAC Transportation Systems, Tianjin, 1995, pp. 151-156.
P. G. Michalopoulos and D. P. Panda, “Derivation of Advanced Traffic Parameters through Video Imaging,” IFAC Transportation Systems, Chania, 1997.
N. Hoose, “Impact: An Image Analysis Tool for Motorway Analysis and Surveillance,” Traffic Engineering Control Journal, Vol. 23, No. 4, 1992, pp. 140-147.
N. Paragios and R. Deriche, “Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 3, 2000, pp. 266-280. doi:10.1109/34.841758
B. Gloyer, H. K. Aghajan, K.-Y. Siu and T. Kailath, “Video-Based Freeway Monitoring System Using Recursive Vehicle Tracking,” Proceedings of IS & T/SPIE Symposium on Electronic Image: Science & Technology— Image and Video Processing, San Francisco, 5 February-5 March 1995, pp. 173-180.
T. Kalinke, C. Tzomakas und W. V. Seelen, “A Texture-Based Object Detection and an Adaptive ModelBased Classification,” IEEE International Conference on Intelligent Vehicles, Vol. 2421, No. 1, 1998, pp. 143-148.
U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, and W. Seelen, “An Image Processing System for Driver Assistance,” Vol. 18, No. 5, 2000, pp. 367-376.
T. Ito, K. Yamada and K. Nishioka, “Understanding Driving Situations Using a Network Model,” IEEE Intelligent Vehicles, Detroit, 25-26 September 1995, pp. 48-53.
U. Regensburger and V. Graefe, “Visual Recognition of Obstacles on Roads,” IEEE Intelligent Robots and Systems, Munchen, 12-16 September 1994, pp. 980-987.
A. Bensrhair, M. Bertozzi, A. Broggi, P. Miche, S. Mousset and G. Moulminet, “A Cooperative Approach to Vision-Based Vehicle Detection,” IEEE Intelligent Transportation Systems, Oakland, 25-29 August 2001, pp. 207212.
H. H. Nagel andW. Enkelmann, “An Investigation of Smoothness Constrains for the Estimation of Displacement Vector Fields from Image Sequences,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 565-593.
B. K. P. Horn and B. G. Schunck, “Determining Optical Flow,” Artificial Intelligence, Vol. 17, 1981, pp. 185-203. doi:10.1016/0004-3702(81)90024-2
W. Enkelmann, R. Kories, H. H. Nagel and G. Zimmermann, “An Experimental Investigation of Estimation Approaches for Optical Flow Fields,” In: W. N. Martin and J. K. Aggarwal, Eds., Motion Understanding: Robot and Human Vision, Kluwer, Dordrecht, 1987, pp.189226.
R. Kories, H. H. Nagel and G. Zimmermann, “Motion Detection in Image Sequences: An Evaluation of Feature Detectors,” Proceedings of International Joint Conference on Pattern Recognition, Montreal, 30 July-2 August 1984, pp. 77880.
M. Fathy and M. Y. Siyal, “An Image Detection Technique Based on Morphological Edge Detection and Background Differencing for Realtime Traffic Analysis,” Pattern Recognition Letters, Vol. 16, No. 12, 1995, pp. 13211330. doi:10.1016/0167-8655(95)00081-X
V. Kastrinaki, M. Zervakis and K. Kalaitzakis, “A Survey of Video Processing Techniques for Traffic Applications,” Image and Vision Computing, Vol. 21, No. 4, 2003, pp. 359-381. doi:10.1016/S0262-8856(03)00004-0
P. G. Michalopoulos, “Vehicle Detection Video through Image Processing: The Autoscope system,” IEEE Transactions on Vehicular Technology, Vol. 40, No. 1, 1991, pp. 21-29. doi:10.1109/25.69968
P. G. Michalopoulos, R. D. Jacobson, C. A. Anderson and T. B. DeBruycker, “Automatic Incident Detection through Video Image Processing,” Traffic Engineering & Control, Vol. 34, No. 2, 1993, pp. 66-75.