Vehicle occlusion identification system by perceptive roadway modeling

Wen Fong Hu*, Yung Sheng Chen, Jun-Wei Hsieh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents a vehicle occlusion identification system based on the perceptive characters of a roadway. To tracking the vehicles, two stages are devised, initial parameter setting stage and occlusion handling stage. In the initial stage, a background extracting method is adopted to obtain the first clean background. Then, a road detection algorithm is used for finding the vanishing point. After the lane dividing line detection, the perceptive roadway models are established in each lane. These roadway parameters are fed into the occlusion handling stage for analyzing the vehicle occlusion situations. Due to the different occlusion cases, several novel segmentation methods are proposed for improving the accurate of the tracking vehicles. Experiment results are shown the feasibility of the proposed methods.

Original languageEnglish
Title of host publicationProceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
Pages392-397
Number of pages6
StatePublished - 1 Dec 2005
Event9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, Japan
Duration: 16 May 200518 May 2005

Publication series

NameProceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

Conference

Conference9th IAPR Conference on Machine Vision Applications, MVA 2005
CountryJapan
CityTsukuba Science City
Period16/05/0518/05/05

Keywords

  • Occlusion
  • Perceptive
  • Segmentation
  • Vanishing point

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