Vehicle Velocity Estimation for Traffic Surveillance System
This paper describes an algorithm to estimate realtime vehicle velocity using image processing technique from the known camera calibration parameters. The presented algorithm involves several main steps. First, the moving object is extracted by utilizing frame differencing technique. Second, the object tracking method is applied and the speed is estimated based on the displacement of the object-s centroid. Several assumptions are listed to simplify the transformation of 2D images from 3D real-world images. The results obtained from the experiment have been compared to the estimated ground truth. From this experiment, it exhibits that the proposed algorithm has achieved the velocity accuracy estimation of about ± 1.7 km/h.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328910Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3950
 B. Coifman, D. Beymer, P. McLauchlan and J. Malik, "A real-time computer vision system for vehicle tracking and traffic surveillance," Transportation Research Part C, vol.6, no. 4, pp. 777-782,1998.
 D. Bauer, A. N. Belbachir and N. Donath, et al., "Embedded Vehicle Speed Estimation System Using an Asynchronous Temporal Contrast Vision Sensor," EURASIP J. on Embedded Systems, vol. 2007, Article ID 82174, 12 pages, 2007.
 J. C. Tai, S. T. Tseng, C. P. Lin and K. T. Song, "Real-time image tracking for automatic traffic monitoring and enforcement applications," Image Vis. Comput., vol. 22, pp. 485, Jun 2004.
 D. J. Dailey, F. W. Cathey and S. Pumrin, "An algorithm to estimate mean traffic speed using uncalibrated cameras," IEEE Trans. on Intelligent Transportation Systems, vol. 1, no. 2, pp. 98-107, June 2000.
 M. Bramberger, B. Rinner and H. Schwabach, "An embedded smart camera on a scalable heterogeneous multi-DSP system", Proc. of the European DSP Education and Research Symp. (EDERS2004), Nov 2004.
 M. Litzenberger, A. N. Belbachir, P. Schon and C. Posch, "Embedded smart camera for high speed vision," Proc. of First ACM/IEEE International Conference on Distributed Smart Camera, Sept 2007, pp. 81-89.
 T. N. Schoepflin and D. J. Dailey, "Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation," IEEE Trans. on Intelligent Transportation Systems, vol. 4, no. 2,pp. 90- 98, June 2003.
 F. W. Cathey and D. J. Dailey, "A novel technique to dynamically measure vehicle speed using uncalibrated roadway cameras," Proc. of IEEE Intelligent Vehicles Symp., June 2005, pp 777-782.
 A. A. H. Ab-Rahman, U. U. Sheikh and M. N. Maliki, et al., "Vestro: Velocity estimation using stereoscopic vision," Proc. of 1st Conference on Computers, Communication and Signal Processing, Nov. 2005, pp.120 -124.
 L. Grammatikopoulos, G. Karras and E. Petsa, "Automatic estimation of vehicle speed from uncalibrated video sequences," Proc. of International Symp. on Modern Technologies, Education and Professional Practice in Geodesy and Related Fields, Nov. 2005, pp. 332-338.
 U. U. Sheikh and S. A. R. Abu-Bakar, "Three-dimensional pose estimation from two-dimensional monocular camera images for vehicle classification", Proc. of 6th WSEAS International Conference on Circuits, Systems, Electronics, Control and Signal Processing, Dec 2007, pp. 356- 361.
 H. A. Rahim, U. U. Sheikh, R. B. Ahmad, A. S. M. Zain and W. N. S. F. W. Ariffin, "Vehicle speed detection using frame differencing for smart surveillance system (Accepted for publication)," to be published.
 H. A. Rahim, U. U. Sheikh, R. B. Ahmad and A. S. M. Zain, "An adapted pointed based for vehicle speed estimation in linear spacing (Accepted for publication)," to be published.