A simple camera calibration method for vehicle velocity estimation

被引:0
作者
Viet-Hoa Do [1 ]
Le-Hoa Nghiem [1 ]
Ngoc Pham Thi [1 ]
Nam Pham Ngoc [1 ]
机构
[1] Hanoi Univ Sci & Technol, Sch Elect & Telecommun, Embedded Syst & Reconfigurable Comp Lab, Hanoi, Vietnam
来源
2015 12TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON) | 2015年
关键词
Camera calibration; Traffic camera; Motion estimation; Optical flow; Speed estimation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Camera calibration is an essential step in vision-based vehicle speed measurement systems. In this paper, a simple, easy, and robust camera calibration method for vehicle speed measurement is proposed. First, the camera is installed at any position that can cover the desired traffic images. After that, an equilateral triangle is drawn on the ground within the view scene of the camera as a reference object. Then, the image of the triangle captured by the traffic camera is used to determine the camera parameters. The main advantage of our method is that it requires very little effort put into installing the camera and can be used in any road conditions. In order to prove the advantages of our method, we use the found camera parameters with the motion vectors of traffic video frames estimated by the optical flow algorithm to calculate the real moving speed of vehicles. Our experimental results have shown that the proposed method is reliable and easy to use.
引用
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页数:5
相关论文
共 13 条
[1]  
Dailey Daniel J., 2002, IEEE T INTELL TRANSP, V1, P98
[2]   Proposal a Vehicle Speed Measuring System Using Image Processing [J].
Goda, Yuji ;
Zhang, Lifeng ;
Serikawa, Seiichi .
2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014), 2014, :541-543
[3]  
Grammatikopoulos L., 2002, Int. Arch. Photogr. Remote Sens. Spat. Inform. Sci, V34, P21
[4]   Geometric camera calibration using circular control points [J].
Heikkilä, J .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (10) :1066-1077
[5]  
Kanatani, 2007, P IAPR C MACH VIS AP, P178
[6]  
Lana Jinhui, 2013, OPTIK INT J LIGHT EL, V125, P289
[7]   A THEORY OF SELF-CALIBRATION OF A MOVING CAMERA [J].
MAYBANK, SJ ;
FAUGERAS, OD .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 1992, 8 (02) :123-151
[8]  
Sturm P. F., 1999, IEEE COMP SOC C COMP
[9]   Compensating Background for Noise due to Camera Vibration in Uncalibrated-Camera-Based Vehicle Speed Measurement System [J].
Thuy Tuong Nguyen ;
Xuan Dai Pham ;
Song, Ji Ho ;
Jin, Seunghun ;
Kim, Dongkyun ;
Jeon, Jae Wook .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (01) :30-43
[10]  
TSAI RY, 1987, IEEE T ROBOTIC AUTOM, V3, P323, DOI 10.1109/JRA.1987.1087109