Car recognition based on back lights and rear view features

2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009

Volumn , Issue , 2009, Pages 137-140

  Santos, David ^a   Correia, Paulo Lobato ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC RECOGNITION SYSTEM; EXTERNAL FEATURES; LICENSE PLATE; PARKING LOTS; RECOGNITION METHODS; RECOGNITION RATES; SHAPE CONTOURS; TRAFFIC ACCIDENTS;

FACE RECOGNITION; IMAGE ANALYSIS; MULTIMEDIA SERVICES; MULTIMEDIA SYSTEMS; PARKING;

LICENSE PLATES (AUTOMOBILE);

EID: 70349292777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIAMIS.2009.5031451     Document Type: Conference Paper

References (20)

1. H. Chang, C. Fu, and C. Huang, "Real-Time Vision-Based Preceding Vehicle Tracking and Recognition", IEEE Intelligent Vehicles Symposium, 2005, pp. 514-519.
2. U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, and W. Seelen, "An Image Processing System for Driver Assistance", Image and Vision Computing, 2000, vol.18 no.5.
3. L. Dlagnekov, "Video-Based Car Surveillance: License Plate Make and Model Recognition", Master's Thesis, University of California at San Diego, 2005, taken from www-cse.ucsd.edu.
4. Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection: A Review", IEEE Transactions on Pattern Analysis and Machine Intelligence, 20-21 May 2006, pp. 694-711, vol.28.
5. T. Kalinke, C. Tzomakas, and W. von Seelen, "A texture-Based Object Detection and an Adaptative Model-based Classification", Proceedings IEEE International Conference Intelligent Vehicles, 1998, pp. 143-148.
6. A. Gianchetti, M. Campani, and V. Torre, "The Use of Optical Flow for Road Navigation", IEEE Trans. Robotics and Automation, no.1, pp. 34-48, vol.14.
7. U. Franke, and I. Kutzbach, "Fast Stereo Based Object Detection for Stop and Go Traffic", Intelligent Vehicles, 1996, pp. 339-344.
8. L. Jin, B. Gu, R. Wang, L. Guo, Y. Zhao and L. Li, "Preceding Vehicle Detection Based on Multi-characteristics Fusion", IEEE, 2006, pp. 356-360.
9. X. Wen, H. Zhao, N. Wang and H. Yuan, "A Rear-Vehicle Detection System for Static Images Based on Monocular Vision", IEEE, ICARCV 2006.
10. C. Tzomakas, and W. von Seelen, "Vehicle Detection in Traffic Scenes Using Shadows", Technical Report 98-106, Institut fur Neuroinformatik, Ruht-Universitat, Bochum, Germany, 1998.
11. S. Shi, Z. Qin, and J. Xu, "Robust Algorithm of Vehicle Classification", International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007, pp. 269-272.
12. Y. Du and N. Papanikolopoulos, "Real-Time Vehicle Following Through a Novel Symmetry-Based Approach", IEEE International Conference on Robotic & Automation, 1997, pp. 3160-3165, vol.4.
13. A. Santhanam and M. M. Rahman, "Moving Vehicle Classification Using Eigenspace", Proceedings of the 2006 IEEE International Conference on Intelligent Robots and Systems, 9-15 Oct. 2006, pp. 3849-3854.
14. X. Ma, and W. Grimson, "Edge-based rich representation for vehicle classification", Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05), 2005.
15. David Anthony Torres, "More Local Structure Information for Make- Model Recognition", Dept. of Computer Science, University of California at San Diego, taken from http://www-cse.ucsd.edu.
16. Milos Stojmenovic, "Real Time Machine Learning Based Car Detection in Images with Fast Training", Springer-Verlag, March 2006.
17. N. Otsu "A Threshold Selection Method from Graylevel Histograms", IEEE Transactions on Systems, Man, and Cybernetics, vol.9, no.1, Jan. 1979, pp. 62-66.
18. D. Santos, J. Fazenda, P. Correia, "Using Gait to Recognize People", Proc EUROCON - The International Conference on "Computer as a Tool" , Belgrado, Servia & Montenegro , Nov. 2005.
19. C. Paulo, P. Correia, "Automatic Detection and Classification of Traffic Signs", WIAMIS'2007, Santorini, Greece, June 2007.
20. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss, "The FERET Evaluation Methodology for Face-Recognition Algorithms", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.22, No.10, October 2000, pp. 1090-1104.