A Vehicle Tracking System with Measuring Traffic Parameters

Abstract:

We consider the video image detector systems using tracking techniques which can be handling of the all kind of problems in the real world, such as shadow, occlusion, and vehicle detection by nighttime. Also we have derived the traffic information, volume count, speed, and occupancy time, under kaleidoscopic environments. In this system we propose a shadow cast algorithm and this system was tested under typical outdoor field environments at a test site. We evaluated the performance of traffic information, volume counts, speed, and occupancy time, with 4 lanes in which 2 lanes are upstream and the rests are downstream. And the performance of our video-based image detector system is qualified by comparing with laser detector installed on testing place.

• Periodical: Advanced Materials Research (Volume 159)
• Pages: 544-549
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.159.544
• Online since: December 2010
• Authors: In Jung Lee
• Keywords: Mean Absolute Percentage Error, Measuring Traffic Parameters, Video Image Detector Systems

References

[1] Akio Yoneyama, Chia-Hung Yeh, C. -C Jay Kuo, Robust Vehicle and Traffic Information Extraction for Highway Surveillance, EURASIP Journal on Applied Signal Processing, pp.2305-2321, (2005).

DOI: 10.1155/asp.2005.2305

[2] B. Coifman, D. Beymer, P. McLauchlan, J. Malik, A Real-Time Computer Vision System for Vehicle Tracking and Traffic Surveillance, Transportation Research Part C 6, 1998, pp.271-288.

DOI: 10.1016/s0968-090x(98)00019-9

[3] J. Oh, J. Min, Development of a Real Time Video Image Processing System for Vehicle Tracking, Journal of Korean Society of Road Engineers, Vol. 10, No. 3, Sep. 2008, pp.19-31.

[4] Hong Liu, Jintao Li, Qun Liu, Yueliang Qian, Shadow Elimination in Traffic Video Segmentation, MVA 2007 IAPR Conference on Machine Vision Applications, May 16-18, Tokyo Japan, (2007).

[5] S. -C. Chen, M. -L. Shyu, S. Peeta, and C. Zhang, Learning-based Spatio-temporal Vehicle Tracking and Indexing for a Transportation Multimedia Database System, IEEE Trans. on Intelligent Transportation Systems, Vol. 4, No. 3, pp.154-167, Sept. (2003).

DOI: 10.1109/tits.2003.821290

[6] J. Oh, J. Min, M. Kim, H. Cho, Development of an Automatic Traffic Conflict Detection System based on Image Tracking Technology, submitted to TRB, (2008).

[7] D. Koller, K. Daniilidis, and H. Nagel, Model-based Object Tracking in Monocular Image Sequences of Road Traffic Scenes, International Journal of Computer Vision 10, pp.257-281, (1993).

DOI: 10.1007/bf01539538

[8] D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russell, Towards Robust Automatic Traffic Scene Analysis in Real Time, ICPR, Vol. 1, pp.126-131, Israel, 1994 b.

DOI: 10.1109/cdc.1994.411746

[9] Andrew Senior, Arun Hampapur, Ying-Li Tian, Lisa Brown, Sharath Pankanti, Ruud Bolle, Appearance Models for Occlusion Handling, Journal of Image and Vision Computing Vol. 24, Issue 11, pp.1233-1243, Nov., (2006).

DOI: 10.1016/j.imavis.2005.06.007

[10] R. Cucchiara, C. Grana, G. Tardini, R. Vezzani, Probabilistic people tracking for occlusion handling, Proceedings of the 17th International Conference on ICPR 2004, Vol. 1, pp.132-135, Aug., 23-26, (2004).

DOI: 10.1109/icpr.2004.1334025

[11] Ismail Haritaoglu, David Harwood, Larry S. Davis, W4: Real-Time Surveillance of People and Their Activities, IEEE Trans. on Pattern Analysis and Machine Intelligence(PAMI), Vol. 22, No. 8, Aug., (2000).

DOI: 10.1109/34.868683

[12] Ting-Hsun Chang, Shaogang Gong, Eng-Jong, Tracking multiple people under occlusion using multiple cameras, In Proc. 11th British Machine Vision Conference, (2000).

DOI: 10.5244/c.14.57

[13] Dockstader et al., Multiple camera tracking of interacting and occluded human motion, Proceedings of the IEEE, Vol. 89, Issue10, pp.1441-1455, Oct., (2001).

DOI: 10.1109/5.959340

[14] S. L. Dockstader, A. M. Tekalp, Multiple camera fusion for multi-object tracking, In Proc. IEEE Workshop on Multi-Object Tracking, pp.95-102, (2001).

DOI: 10.1109/mot.2001.937987

[15] Jose Melo, Andrew Naftel, Alexandre Bernardino, Jose Santos-Victor, Viewpoint Independent Detection of Vehicle Trajectories and Lane Geometry from Uncalibrated Traffic Surveillance Cameras, International Conference on Image Analysis and Recognition, Porto, Portugal, Sep. 29-Oct. 1, (2004).

DOI: 10.1007/978-3-540-30126-4_56

[16] Mei Xiao, Chong-Zhao Han, Lei Zhang, Moving Shadow Detection and Removal for Traffic Sequences, International Journal of Automation and Computing, pp.38-46, Jan., (2007).

DOI: 10.1007/s11633-007-0038-z

[17] T. Horprasert, D. Harwood, L. Davis, A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection, Proc. 7th IEEE ICCV Frame-rate Workshop Corfu, pp.1-19, (1999).

[18] Avery, Zhang, Wang, and Nihan, An Investigation into Shadow Removal from Traffic Images, TRB 2007 Annual Meeting CD-ROM, (2007).

[19] J. M Wang, Y.C. Chung, C.L. Chang S. W Chen, Shadow detection and Removal for Traffic Images, Proceedings of the IEEE International Conference on Networking, Sensing & Control, Taipei Taiwan, pp.649-654, Mar., 21-23, (2004).

DOI: 10.1109/icnsc.2004.1297516

[20] A. Bevilacqua, Effective Shadow Detection in Traffic Monitoring Applications, Journal of International Conference in Central Europe on Computer Graphics, Visualization, and Computer Vision, Vol. 11, No. 1, ISSN 1213-6972, Feb. 3-7, (2003).

[21] Dashan Gao, Jie Zhou, Leping Xin, SVM-based Detection of Moving Vehicles for Automatic Traffic Monitoring, Proceedings of IEEE Intelligent Transportation Systems Conference, Oakland (CA) USA, Aug. 25-29, (2001).

DOI: 10.1109/itsc.2001.948753

[22] Rahul Sukthankar, RACCOON: A Real-time Autonomous Car Chaser Operating Optimally at Night, Proceedings of IEEE Intelligent Vehicles, (1993).

DOI: 10.1109/ivs.1993.697294

[23] Shai Avidan, Support Vector Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 8, pp.1064-1072, (2004).

DOI: 10.1109/tpami.2004.53

[24] Ilkwang Lee, Hanseok Ko, David K. Han, Multiple Vehicle Tracking based on Regional Estimation in Nighttime CCD images, " Proc. IEEE Int. Conf. Acoustic, Speech, Signal Processing(ICASSP, 02), Vol. 4, pp.3712-3715, Orlando, Fla., USA, May (2002).

DOI: 10.1109/icassp.2002.1004723

[25] Samyong Kim, Se-young Oh, Kwangsoo Kim, Sang-cheol Park, Kyongha Park, Front and Rear Vehicle Detection and Tracking in the Day and Night Time using Vision and Sonar Sensors, Proceedings of 12th World Congress of ITS, 6-10 Nov. (2005).

DOI: 10.1109/iros.2005.1545321

[26] Z. Kim, Real Time Object Tracking based on Dynamic Feature Grouping with Background Subtraction., In Proc. IEEE Conf. Computer Vision and Pattern Recognition, (2008).

DOI: 10.1109/cvpr.2008.4587551