Speed estimation of vehicles approaching an intersection: a digital image processing method

REFERENCES

• Retting, R. A., Williams, A. F., Farmer, C. M. and Feldman, A. F. Evaluation of red light camera enforcement in Fairfax, Va., USA. ITE J., 1999, 69, 30–34.
   Google Scholar
• Hill, S. E. and Lindly, J. K. ‘Red light running prediction and analysis’, UTCA Report no. 02112, University Transportation Center for Alabama, Tuscaloosa, AL, USA, 2003.
   Google Scholar
• FHWA. Pedestrian Safety: Report to Congress, 2008 (FHWA, US Department of Transportation, Washington, DC).
   Google Scholar
• Rodgers, C. and Blomberg, R. Safety afoot: field testing of a pedestrian alert system. GPS World, 2008, 19, 29–35.
   Google Scholar
• Gavrila, D. M. Sensor-based pedestrian protection. IEEE Intell. Syst., 2001, 16, 77–81.
   Google Scholar
• Wang, J., Case, E. R. and Manor, D. The road traffic microwave sensor (RTMS), Proc. 3rd Int. Conf. on Vehicle navigation and information systems: VNIS ’92, Oslo, Norway, September 1992, IEEE Computer Society, pp. 83–90.
   Google Scholar
• Carullo, A. and Parvis, M. An ultrasonic sensor for distance measurement in automotive applications. Sens. J., IEEE, 2001, 1, 143–147.
   Google Scholar
• Sawicki, D. S. Traffic Radar Handbook: A Comprehensive Guide to Speed Measuring Systems, 2002 (AuthorHouse, Bloomington, IN).
   Google Scholar
• Coleri, S., Cheung, S. and Varaiya, P. Sensor networks for monitoring traffic, in Proc. 42nd Annual Allerton Conf. on Communication, control, and computing, Monticello, IL, USA, September–October 2004, University of Illinois.
   Google Scholar
• Tokoro, S., Kuroda, K., Kawakubo, A., Fujita, K. and Fujinami, H. Electronically scanned millimeter-wave radar for pre-crash safety and adaptive cruise control system, Proc. 4th Intelligent Vehicles Symp.: IV 2003, Columbus, OH, USA, June 2003, IEEE Computer Society, pp. 304–309.
   Google Scholar
• Jones, W. D. Keeping cars from crashing. IEEE Spectr., 2001, 38, 40–45.
   Google Scholar
• Kastrinaki, V., Zervakis, M. and Kalaitzakis, K. A survey of video processing techniques for traffic applications. Image Vision Comput., 2001, 21, 257–261.
   Google Scholar
• Palubinskas, G., Kurz, F. and Reinartz, P. Detection of traffic congestion in optical remote sensing imagery, Proc. 2008 IEEE Int. Geoscience and Remote Sensing Symp.: IGARSS 2008, Boston, CA, USA, July 2008, IEEE Computer Society, Vol. 2, pp. 426–429.
   Google Scholar
• Dailey, D. J., Cathey, F. W. and Pumrin, S. An algorithm to estimate mean traffic speed using uncalibrated cameras. IEEE Trans. Intell. Transp. Syst., 2000, 1, 98–107.
   Google Scholar
• Zahiri-Azar, R. and Salcudean, S. E. Motion estimation in ultrasound images using time domain cross correlation with prior estimates. IEEE Trans. Biomed. Eng., 2006, 53, 1990–2000.
   Google Scholar
• Roche, A., Malandain, G., Pennec, X. and Ayache, N. The correlation ratio as a new similarity measure for multimodal image registration. Lect. Notes Comput. Sci., 1496, 1115–1124.
   Google Scholar
• Erturk, S. Digital image stabilization with sub-image phase correlation based global motion estimation. IEEE Trans. Consum. Electron., 2003, 49, 1320–1325.
   Google Scholar
• Ernesto de la Rocha, Rafael Palacios, J. Electron. Imaging 19, 043025 (2010), Image-processing algorithms for detecting and counting vehicles waiting at a traffic light DOI:10.1117/1.3528465.
   Google Scholar
• Pornpanomchai, C., Liamsanguan, T. and Vannakosit, V. Vehicle detection and counting from a video frame, Proc. 2008 Int. Conf. on Wavelet analysis and pattern recognition: ICWAPR 2008, Hong Kong, China, August 2008, IEEE, Vol. 1, pp. 356–361.
   Google Scholar
• Iwasaki, Y. and Kurogi, Y. Real-time robust vehicle detection through the same algorithm both day and night, Proc. 2007 Int. Conf. on Wavelet analysis and pattern recognition: ICWAPR 2007, Beijing, China, November 2007, IEEE, Vol. 1, pp. 1008–1014.
   Google Scholar
• Thirde, D., Borg, M., Ferryman, J., Fusier, F., Valentin, V., Bremond, F. and Thonnat, M. Video event recognition for aircraft monitoring, Proc. 8th Int. IEEE Conf. on Intelligent transportation systems: ITSC 2005, Vienna, Austria, September 2005, IEEE Computer Society, pp. 1102–1107.
   Google Scholar
• Retting, R. A., Ulmer, R. G. and Williams, A. F. Prevalence and characteristics of red light running crashes in the United States. Accid. Anal. Prev., 1999, 31, 687–694.
   Google Scholar