Moving Vehicle Tracking Algorithm Used for Intelligent Traffic

GAO Tao, LIU Zheng-guang, YUE Shi-hong, ZHANG Jun

China Journal of Highway and Transport ›› 2010, Vol. 23 ›› Issue (3) : 89-94.

PDF Full Text Download(547 KB)
PDF Full Text Download(547 KB)
China Journal of Highway and Transport ›› 2010, Vol. 23 ›› Issue (3) : 89-94.
Original Article

Moving Vehicle Tracking Algorithm Used for Intelligent Traffic

  • GAO Tao1,2, LIU Zheng-guang1, YUE Shi-hong1, ZHANG Jun1
Author information +
History +

Abstract

In order to improve the accuracy of vehicle tracking on road, and satisfy the need of intelligent traffic monitoring, a sample template model with scale invariant feature transform (SIFT) algorithm was used to match and detect the vehicle location, and the size of template was linked to vehicle scale changing. According to the distance of feature vector, the exact region of vehicle could be obtained. The particle filter algorithm combined with mean-shift was used to track the vehicles and the size of tracking window was changed according to vehicle scale changing. The data association between multiple moving vehicles was established by independent particle filter. Actual road test results show that the vehicle detection accuracy calculated by the algorithm is above 90%. Feature particles in the follow-up tracking process stay in stable condition, the number of particle which drifts outside the window is below 10%.

Key words

traffic engineering / intelligent traffic / particle filter algorithm / vehicle tracking / feature matching

Cite this article

Download Citations
GAO Tao, LIU Zheng-guang, YUE Shi-hong, ZHANG Jun. Moving Vehicle Tracking Algorithm Used for Intelligent Traffic[J]. China Journal of Highway and Transport, 2010, 23(3): 89-94

References

[1] MAGEE D R.Tracking Multiple Vehicles Using Foreground,Background and Motion Models[J].Image and Vision Computing,2004,22(2):143-155.
[2]肖旺新,张 雪,黄 卫.视频交通图像自适应阈值边缘检测[J].交通运输工程学报,2003,3(4):104-107.
XIAO Wang-xin,ZHANG Xue,HUANG Wei.Adaptive Thresholds Edge Detection of Traffic Im-age[J].Journal of Traffic and Transportation Engin-eering,2003,3(4):104-107.
[3]简林莎,段宗涛,周兴社.智能运输系统信息平台[J].长安大学学报:自然科学版,2006,26(2):81-83.
JIAN Lin-sha,DUAN Zong-tao,ZHOU Xing-she.Information Platform of Intelligent Transportation Systems[J].Journal of Chang'an University:Natural Science Edition,2006,26(2):81-83.
[4]谢 军,张生瑞,胡长水.交通信息化发展评价[J].长安大学学报:自然科学版,2007,27(6):76-79.
XIE Jun,ZHANG Sheng-rui,HU Chang-shui.Evalu-ation of Transport Information Development[J].Journal of Chang'an University:Natural Science Edition,2007,27(6):76-79.
[5]何兆成,赵建明,王镇波,等.城市信号控制路网中的路段行程时间估计方法[J].交通运输工程学报,2008,8(4):95-98.
HE Zhao-cheng,ZHAO Jian-ming,WANG Zhen-bo,et al.Travel Time Estimation Method in Urban Road Network with Signal Control[J].Journal of Traffic and Transportation Engineering,2008,8(4):95-98.
[6]金 凌,陈启美,王 炜.ITS域跨平台应用技术[J].交通运输工程学报,2008,8(3):101-107.
JIN Ling,CHEN Qi-mei,WANG Wei.Cross-platform Application Technologies in ITS[J].Journal of Traffic and Transportation Engineering,2008,8(3):101-107.
[7]李子青,巩大力.基于SAS与IEEE1451的交通监控系统设计与实现[J].交通运输工程学报,2009,9(2):116-120.
LI Zi-qing,GONG Da-li.Design and Implementation of Traffic Monitoring System Based on SAS and IEEE1451[J].Journal of Traffic and Transportation Engineering,2009,9(2):116-120.
[8]TAI J,TSENG S,LIN C,et al.Real-time Image Tracking for Automatic Traffic Monitoring and Enforcement Applications[J].Image and Vision Computing,2004,22(6):485-501.
[9]ZHU Z,XU G,YANG B,et al.VISATRAM:a Real-time Vision System for Automatic Traffic Moni-toring[J].Image and Vision Computing,2000,18(10):781-794.
[10]OTTLIK A,NAGEL H H.Initialization of Model-based Vehicle Tracking in Video Sequences[J].International Journal of Computer Vision,2008,80(2):211-225.
[11]DAHLKAMP H,NAGEL H H,OTTLIK A,et al.A Framework for Model-based Tracking Experiments in Image Sequences[J].International Journal of Computer Vision,2007,73(2):139-157.
[12]COMANICIU D,MEER P.Mean Shift:a Robust Approach Toward Feature Space Analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(5):603-619.
[13]KOTECHA J H,DJURIC P M.Gaussian Sum Par-ticle Filtering[J].IEEE Transactions on Signal Processing,2003,51(10):2602-2612.
[14]ARULAMPALAM M S,MASKELL S,GORDON N,et al.A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking[J].IEEE Transactions on Signal Processing,2002,50(2):174-188.
[15]LOWE D G.Distinctive Image Features from Scale-invariant Keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
[16]GAO T,LIU Z G,ZHANG J.BDWT Based Moving Object Recognition and Mexico Wavelet Kernel Mean Shift Tracking[J].Journal of System Simulation,2008,20(19):5236-5239.
[17]CHANG C,ANSARI R.Kernel Particle Filter for Visual Tracking[J].IEEE Signal Processing Letters,2005,12(3):242-245.
[18]ZHOU B,BOSE N K.Multitarget Tracking in Clutter:Fast Algorithms for Data Association[J].IEEE Transactions on Aerospace and Electronic Systems,1993,29(2):352-363.
[19]COX I J,HINGORANI S L.An Efficient Implementation of Reid's Multiple Hypothesis Tracking Algorithm and Its Evaluation for the Purpose of Visual Tracking[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1996,18(2):138-150.
[20]BLACKMAN S S,DEMPSTER R J,BROIDA T J.Multiple Hypothesis Track Confirmation for Infrared Surveillance Systems[J].IEEE Transactions on Aerospace and Electronic Systems,1993,29(3):810-824.
[21]HUE C,CADRE J P L,PEREZ P.Tracking Multiple Objects with Particle Filtering[J].IEEE Transactions on Aerospace and Electronic Systems,2002,38(3):791-812.
PDF Full Text Download(547 KB)

1622

Accesses

0

Citation

Detail

Sections
Recommended

/