Motion analysis of nearby vehicles on a freeway

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Motion analysis in a driver-assistance system plays a very important role for improving driving safety. The objective of this paper is to propose a vision-based system for analyzing the motions of nearby vehicles on a freeway. When the video sequences captured from a forward-looking camcorder mounted in a vehicle are input, the vehicle feature extraction is performed in the area of the road surface. The feature extraction results are then fed into the spatiotemporal attention neural module. Once the focuses of attention, which indicate the possible locations of vehicle, are formed, the segmentation and tracking module is activated. The tracking results of consecutive frames are analyzed using an accumulated method. The experimental results show that our method can quickly and correctly recognize the motion of nearby vehicles in front of our vehicle.

Original languageEnglish
Title of host publicationConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
Pages903-908
Number of pages6
Publication statusPublished - 2004 Jun 28
EventConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan
Duration: 2004 Mar 212004 Mar 23

Publication series

NameConference Proceeding - IEEE International Conference on Networking, Sensing and Control
Volume2

Other

OtherConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
CountryTaiwan
CityTaipei
Period04/3/2104/3/23

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Keywords

  • Attention map
  • Level set method
  • Motion detection
  • Particle system

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Yen, P. S., Fang, C. Y., & Chen, S. W. (2004). Motion analysis of nearby vehicles on a freeway. In Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control (pp. 903-908). (Conference Proceeding - IEEE International Conference on Networking, Sensing and Control; Vol. 2).