State machine and downhill simplex approach for vision-based nighttime vehicle detection

ETRI Journal

Volumn 36, Issue 3, 2014, Pages 439-449

  Choi, Kyoung Ho ^a   Kim, Do Hyun ^b   Kim, Kwang Sup ^c   Kwon, Jang Woo ^d   Lee, Sang Il ^a   Chen, Ken ^e   Park, Jong Hyun ^b  

^a Mokpo National University   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^c HuNS Inc   (South Korea)

^d Inha University   (South Korea)

^e NINGBO UNIVERSITY   (China)

Author keywords

Downhill simplex; Headlight detection; Nighttime vehicle detection; State machine

Indexed keywords

VEHICLES;

AREA OF INTEREST; DOWNHILL SIMPLEX METHOD; DOWNHILL SIMPLEX OPTIMIZATIONS; DOWNHILL SIMPLICES; SEQUENTIAL STATE; STATE MACHINE; VEHICLE DETECTION; VISION BASED;

HEADLIGHTS;

EID: 84902186912     PISSN: 12256463     EISSN: 22337326     Source Type: Journal    
DOI: 10.4218/etrij.14.0113.0509     Document Type: Article

References (29)

1. J.C. McCall and M.M. Trivedi, "Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation," IEEE Trans. Intell. Transp. Syst., vol. 7, no. 1, Mar. 2006, pp. 20-37.
2. Y.-L. Chen et al., "Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles," Int. Conf. Pattern Recogn., Hong Kong, China, vol. 1, 2006, pp. 687-690.
3. R. Mandelbaum et al., "Vision for Autonomous Mobility: Image Processing on the VFE-200," IEEE Int. Symp. CIRA, Gaithersburg, MD, USA, Sept. 14-17, 1998, pp. 671-676.
4. G. Zhao and S. Yuta, "Obstacle Detection by Vision System for an Autonomous Vehicle," Intell. Veh. Symp., July 14-16, 1993, pp. 31-36.
5. M. Bertozzi, A. Broggi, and A. Fascioli, "Vision-Based Intelligent Vehicles: State of the Art and Perspectives," Robot. Auton. Syst., vol. 32, July 31, 2000, pp. 1-16.
6. K. Kiratiratanapruk and S. Siddhichai, "Practical Application for Vision-Based Traffic Monitoring System," Int. Conf. Electr. Eng./Electron. Comput. Telecommun. Inf. Tech., Pattaya, Thailand, vol. 2, May 6-9, 2009, pp. 1138-1141.
7. T. Semertzidis, "Video Sensor Network for Real-Time Traffic Monitoring and Surveillance," Intell. Transp. Syst. IET, vol. 4, no. 2, June 2010, pp. 103-112.
8. R. Feris et al., "Large-Scale Vehicle Detection in Challenging Urban Surveillance Environments," IEEE Workshop Appl. Comp. Vision, Kona, HI, USA, Jan. 5-7, 2011, pp. 527-533.
9. L.Y. Deng et al., "Vision Based Adaptive Traffic Signal Control System Development," Int. Conf. Adv. Inf. Netw. Appl., vol. 2, Mar. 28-30, 2005, pp. 385-388.
10. M.H. Malhi et al., "Vision Based Intelligent Traffic Management System," Frontiers Inf. Technol., Islamabad, Pakistan, Dec. 19-21, 2011, pp. 137-141.
11. B. Coifman and H. Lee, "Analytical Tools for Loop Detectors and Traffic Monitoring Systems," IEEE Intell. Transp. Syst. Conf., Seattle, WA, USA, Oct. 2007, pp. 1086-1091.
12. M.S. Shbat and V. Tuzlukov, "Generalized Detector with Adaptive Detection Threshold for Radar Sensors," Int. Radar Symp., Warsaw, Poland, May 23-25, 2012, pp. 91-94.
13. K.F. Hussain and G.S. Moussa, "Automatic Vehicle Classification System Using Range Sensor," Int. Conf. Inf. Technol.: Coding Comp., vol. 2, Apr. 2005, pp. 107-112.
14. E. Sifuentes, O. Casas, and R. Pallas-Areny, "Wireless Magnetic Sensor Node for Vehicle Detection with Optical Wake-Up," IEEE Sensors J., vol. 11, no. 8, Aug. 2011, pp. 1669-1676.
15. B. Barbagli et al., "A Real-Time Traffic Monitoring Based on Wireless Sensor Network Technologies," IWCMC, Istanbul, Turkey, July 4-8, 2011, pp. 820-825.
16. S.P. Lin, Y.H. Chen, and B.F. Wu, "A Real-Time Multiple-Vehicle Detection and Tracking System with Prior Occlusion Detection and Resolution, and Prior Queue Detection and Resolution," Int. Conf. Pattern Recogn., Hong Kong, China, vol. 1, 2006, pp. 828-831.
17. X. Song and R. Nevatia, "Robust Vehicle Blob Tracking with Split/Merge Handling," Int. Evaluation, Conf. CLEAR, 2007, pp. 216-222.
18. J.W. Hsieh et al., "Automatic Traffic Surveillance System for Vehicle Tracking and Classification." IEEE Trans. Intell. Transp. Syst., vol. 7, no. 2, June 2006, pp. 175-187.
19. K. Huang et al., "A Real-Time Object Detecting and Tracking System for Outdoor Night Surveillance," Pattern Recogn., vol. 41, no. 1, Jan. 2008, pp. 432-444.
20. Y.-L. Chen et al., "A Real-Time Vision Systems for Nighttime Vehicle Detection and Traffic Surveillance," IEEE Trans. Ind. Electron., vol. 58, no. 5, May 2011, pp. 2030-2044.
21. T. Schamm, C. von Carlowitz, and J.M. Zollner, "On-Road Vehicle Detection during Dusk and at Night," IEEE Intell. Veh. Symp., San Diego, CA, USA, June 21-24, 2010, pp. 418-423.
22. W. Wang et al., "A Two-Layer Night-Time Vehicle Detector," Int. Conf. DICTA, Melbourne, VIC, Australia, Dec. 1-3, 2009, pp. 162-167.
23. J. Wu, X. Zhang, and J. Zhou, "Vehicle Detection in Static Road Images with PCA-And-Wavelet-Based Classifier," IEEE Intell. Transp. Syst., Oakland, CA, USA, Aug. 2001, pp. 740-744.
24. H.Y. Cheng and S.H. Hsu, "Intelligent Highway Traffic Surveillance with Self-Diagnosis Abilities," IEEE Trans. Intell. Transp. Syst., vol. 12, no. 4, Dec. 2011, pp. 1462-1472.
25. S.Y. Cheung and P. Varaiya, "Traffic Surveillance by Wireless Sensor Networks: Final Report," U.C. Berkeley, CA, California path research report ucb-its-prr-2007-4, Jan. 2007.
26. A.N. Knaian, A Wireless Sensor Network for Roadbeds and Intelligent Transportation systems, MS Thesis, Dept. Electr. Eng. Comput. Sci., MIT, Cambridge, MA, 2000.
27. S.R. Ke et al., "View-Invariant 3D Human Body Pose Reconstruction Using a Monocular Video Camera," ACM/IEEE ICDSC, Ghent, Belgium, Aug. 22-25, 2011, pp. 1-6.
28. K.-H. Choi et al., "Methods to Detect Road Features for Video-Based in-Vehicle Navigation Systems," J. Intell. Trans. Syst., vol. 14, no. 1, Feb. 2010, pp. 13-26.
29. D.H. Kim et al., "Finite State Machine for Vehicle Detection in Highway Surveillance Systems," Korea-Japan Joint Workshop, FCV, Incheon, Rep. of Korea, Jan. 2013, pp. 84-87.