Requirements for motion estimation in image sequences for traffic applications

被引:0
|
作者
van Leeuwen, MB [1 ]
Green, FCA [1 ]
Dev, A [1 ]
机构
[1] Univ Amsterdam, Dept Comp Sci, NL-1098 SJ Amsterdam, Netherlands
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In traffic applications research in devices that can increase the safety and comfort of vehicles is an important topic. In this paper a digital rear-view mirror is presented that helps the driver to analyse situations on the road behind him. From the observations from a camera the optical motion in the image plane call be estimated. Based oil this motion estimation the real-world motion of the vehicles behind our car is interpreted. The motion interpretation problem is very sensitive for errors introduced in the motion estimation. This paper describes a method that shows how accurate the motion estimation must be to enable the required accuracy of the motion interpretation. This will be done by means of simulation experiments for characteristic situations (vehicle approaching, retreating or shifting lane).
引用
收藏
页码:145 / 150
页数:6
相关论文
共 50 条
  • [1] Requirements for motion estimation in image sequences for traffic applications
    van Leeuwen, M.B.
    Groen, F.C.A.
    Dev, A.
    [J]. Conference Record - IEEE Instrumentation and Measurement Technology Conference, 1999, 1 : 145 - 150
  • [2] Motion estimation in image sequences for traffic applications
    van Leeuwen, MB
    Groen, FCA
    [J]. IMTC/2000: PROCEEDINGS OF THE 17TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE: SMART CONNECTIVITY: INTEGRATING MEASUREMENT AND CONTROL, 2000, : 354 - 359
  • [3] Robust motion trajectory estimation for long image sequences with applications to motion compensated prediction
    Gibson, D
    Spann, M
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1999, 13 (05) : 781 - 802
  • [4] Robust motion trajectory estimation for long image sequences with applications to motion compensated prediction
    Gibson, D
    Spann, M
    [J]. VISION INTERFACE - REAL WORLD APPLICATIONS OF COMPUTER VISION, 1999, 35 : 243 - 264
  • [5] Motion estimation on infrared image sequences
    Collet, C
    Fablet, R
    [J]. TARGETS AND BACKGROUNDS: CHARACTERIZATION AND REPRESENTATION V, 1999, 3699 : 67 - 77
  • [6] A Fast Local Motion Estimation Method and Its Applications to Ultrasound Image Sequences
    Lim, Soo Chul
    Kim, Jong Dae
    Kim, Baek Sop
    [J]. WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2006, VOL 14, PTS 1-6, 2007, 14 : 2512 - 2516
  • [7] Motion flow estimation from image sequences with applications to biological growth and motility
    Dong, Gang
    Baskin, Tobias I.
    Palaniappan, Kannappan
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 1245 - +
  • [8] Applications of the iterated conditional modes algorithm for motion estimation in medical image sequences
    Grava, Cristian
    Gacsadi, Alexandru
    Gordan, Cornelia
    Grava, Adriana-Marcela
    Gavrilut, Loan
    [J]. ISSCS 2007: INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 2007, : 373 - +
  • [9] A robust method for motion estimation in image sequences
    Mecke, R
    Michaelis, B
    [J]. ARTICULATED MOTION AND DEFORMABLE OBJECTS, PROCEEDINGS, 2000, 1899 : 108 - 119
  • [10] Simultaneous motion estimation and filtering of image sequences
    Fan, CM
    Namazi, NM
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1999, 8 (12) : 1788 - 1795