Video-based traffic monitoring at day and night: Vehicle features detection and tracking

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2009, Pages 285-290

  Robert, Kostia ^a  

^a CSIRO   (Australia)

Author keywords

Computer vision; Headlights; Hierarchical feature based vehicle detection; Machine learning; Multiple vehicle detection; Multiple vehicle tracking; Traffic monitoring; Vehicle appearance; Windshields

Indexed keywords

HIERARCHICAL FEATURES; MACHINE-LEARNING; TRAFFIC MONITORING; VEHICLE DETECTION; VEHICLE TRACKING;

CAMERAS; COMPUTER VISION; FEATURE EXTRACTION; HEADLIGHTS; HIGHWAY TRAFFIC CONTROL; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MOTOR TRANSPORTATION; ROBOT LEARNING; SECURITY SYSTEMS; SENSORS; VEHICLE LOCATING SYSTEMS; VIDEO CAMERAS; WINDSHIELDS;

VEHICLES;

EID: 72449187561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2009.5309837     Document Type: Conference Paper

References (14)

1. C.Stauffer and W.E.L. Grimson, "Adaptive background mixture models for real-time tracking", Proc. IEEE CVPR 1999, pp. 246-252, June 1999
2. M. Piccardi, "Background subtraction techniques: a review" IEEE International Conference on Systems, Man and Cybernetics 2004
3. Z. Yin, F. Yang, H.X. Liu, "Using image ensors to measure real-time traffic flow parameters", TRB Annual Meeting, 2004
4. T. Chiang and W. Lau, "Segmentation of vehicles in traffic video" in EE392j Project report.
5. D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russel, "Toward robust automatic traffic scene analysis in realtime" in Proc. Int. Conf. Pattern Recognition, Israel, 1994, pp. 126-131.
6. B. Coifman, D. MBeymer, P. McLauchlan, and J. Malik, "A real-time computer vision system for vehicle tracking and traffic surveillance" Transp D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russel, "Toward robust automatic traffic scene analysis in real-time" in Proc. Int. Conf. Pattern Recognition, Israel, 1994, pp. 126-131.
7. R. Taktak, M. Dufaut, and R. Husson, "Vehicle detection at night using image processing and pattern recognition", Image Processing, 1994. Proceedings. ICIP-94, IEEE International Conference, volume 2, pages 296-300vol.2, 13-16 Nov. 1994.
8. R. Cucchiara, M. Piccardi, and P. Mello, "Image analysis and rule-based reasoning for a traffic monitoring system" Intelligent Transportation Systems, IEEE Transactions on, 1(2):119-130, June 2000
9. K. Robert "Night-time traffic surveillance: a robust framework for multi-vehicle detection, classification and tracking" (not yet published)
10. D. Roller, K. Daniilidis, and H.H. Nagel, "Model-based object tracking in monocular image sequences of road traffic scenes." International Journal of Computer Vision, 1993. 10(3): p. 257-281
11. T.N. Tan, G.D. Sullivan, and K.D. Baker, "Model-based localisation and recognition of road vehicles" International Journal of Computer Vision, 1998. 27(1): p. 5-25
12. Z. Kim and J. Malik, "Fast vehicle detection with probabilistic feature grouping and its application to vehicle tracking" in Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on. 2003
13. P.M. Birch et al. "Automated vehicle occupancy monitoring" Optical Engineering, 2004. 43(8): p.1828-1832
14. D.J. Dailey and F.W. Cathey. Cctv technical report - phase 3. Technical report, Washington State Transportation Center (TRAC), 2006.