An enhanced background estimation algorithm for vehicle detection in urban traffic video

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2008, Pages 784-790

  Vargas, M ^a   Toral, S L ^a   Barrero, F ^a   Milla, J M ^a  

^a NONE

Author keywords

Background estimation; Sigma deita filter; Urban environments; Vehicle detection

Indexed keywords

BACKGROUND ESTIMATION; BACKGROUND MODELS; COMPLEX SCENES; EXPERIMENTAL TESTS; ORIGINAL ALGORITHMS; PIXEL LEVELS; SIGMA DELTAS; SIGMA-DEITA FILTER; TYPICAL URBAN; URBAN ENVIRONMENTS; URBAN TRAFFICS; VEHICLE DETECTION;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS; VEHICLE LOCATING SYSTEMS; VEHICLES;

ESTIMATION;

EID: 60749126146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2008.4732541     Document Type: Conference Paper

References (16)

1. WHO, World Health Organization, Regional Health Forum, Regional Office for South-East Asia New Delhi, 2004, pp. 39-51.
2. P.G. Michalopoulos, "Vehicle detection video through image processing: the Autoscope system", IEEE Transactions on Vehicular Technology, Vol. 40, No. 1, Part 2, 1991, pp. 21-29.
3. M. Fathy, M. Siyal, "A window-based image processing technique for quantitative and qualitative analysis of road traffic parameters" IEEE Trans. Veh. Tech., vol. 47, no. 4, 1998, pp. 1342-1349.
4. Z. Zhu and G. Xu, "V1SATRAM: A real-time vision system for automatic traffic monitoring," Image Vis. Comput., vol. 18, no. 10, 2000, pp. 781-794.
5. J. Zhou, D. Gao, and D. Zhang, "Moving Vehicle Detection for Automatic Traffic Monitoring," IEEE Transactions on Vehicular Technology, Vol. 56, no. 1, Jan. 2007, pp. 51-59.
6. M. Piccardi, "Background subtraction techniques: a review", In Systems, Man and Cybernetics, 2004 IEEE International Conference on. Vol. 4, pp.3099-3104.
7. D. Beymer, P. Mclauchlan, B. Coifman, J. Malik, "A real-time computer vision system for measuring traffic parameters", Proc. IEEE Conf. on Comp. Vis. and Pattern Recog., 1997, pp. 495-501.
8. N.K. Kanhere, S.T. Birchfield,"Real-time incremental segmentation and tracking of vehicles at low camera angles using stable features", IEEE Transactions on Intelligent Transportation Systems, Vol. 9, No.l, March 2008.
9. A. Prati, I. Mikic, M.M. Trivedi, R. Cucchiara, "Detecting moving shadows: algorithms and evaluation". Trans on Pattern Analysis and Machine Intelligence, Vol. 25, No. 7, 2003, pp. 918-923.
10. R. Cucchiara, C. Grana, M. Piccardi, A. Prati, "Detecting moving objects, ghosts, and shadows in video streams", Trans on Pattern Anal, and Machine Intell., Vol. 25, No. 10, 2003, pp. 1337-1342.
11. S.C.S. Cheung, and C. Kamath, " Robust Background Subtraction with Foreground Validation for Urban Traffic Video", EURASIP Journal on Applied Signal Processing, 14, 2005, pp. 2330-2340.
12. T.H. Chalidabhongse, K. Kim, D. Harwood, and L. Davis, "A perturbation method for evaluating background subtraction algorithms", In Proc. Joint IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance. Nice, France, 2003.
13. A. Manzanera, and J. C. Richefeu, "A robust and computationally efficient motion detection algorithm based on sigma-delta background estimation.", In Proc. 1CVG1P'04, pp. 46-51, 2004.
14. A. Manzanera, "Σ-Δ Background Subtraction and the Zipf Law", Lecture Notes in Computer Science, Vol 4756, 2008, pp. 42-51.
15. A. Manzanera, and J. C. Richefeu, "A new motion detection algorithm based on Sigma-Delta background estimation", Pattern Recognition Tetters, Vol. 28, 2007, pp. 320-328.
16. L. Vincent, "Morphological grayscale reconstruction in image analysis: applications and efficient algorithms", IEEE Transactions on Image Processing, Vol. 2, No. 2, April 1993.