Vehicle Retrieval Using Features of Vehicle Front Windshields

Vehicle retrieval-based features is an important topic in intelligent transportation systems. Firstly, a novel method of vehicle retrieval using color histogram features of vehicle front windshield is proposed in this paper. Secondly, the proposed vehicle retrieval method is compared with local binary patterns: gabor wavelet transform, contourlet transform, and scale-invariant feature transform. Finally, the comparative experiments are carried out, and the experimental results indicate that the proposed vehicle retrieval method offers the best classification performance, and the comprehensive index of search of vehicle retrieval using color histogram features of vehicle front windshield is 86.7%.

Language

  • English

Media Info

  • Media Type: Web
  • Monograph Title: CICTP 2019: Transportation in China—Connecting the World

Subject/Index Terms

Filing Info

  • Accession Number: 01712550
  • Record Type: Publication
  • ISBN: 9780784482292
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2019 3:06PM