Vehicle make and model recognition by keypoint matching of pseudo frontal view

Yukiko Shinozuka, Ruiko Miyano, Takuya Minagawa, Hideo Saito

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

1 Citation (Scopus)

Abstract

We propose a vehicle make and model recognition method for the smart phone, and implemented it onto them. Our method identifies the make and model from the variety of viewpoints while the conventional methods for VMMR work only for the frontal or rear view images. This method enables the users to take the pictures from a certain range of angles. Our method uses SIFT, that has scale and rotation invariance to solve the alignment issue. It creates the pseudo frontal view images by homography matrix and extracts the keypoints. Homography matrix is calculated with the position of the license plate. Our experimental result shows our method enables to recognize up to 60-degree angle.

Original languageEnglish
Title of host publicationElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
DOIs
Publication statusPublished - 2013 Nov 29
Event2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 - San Jose, CA, United States
Duration: 2013 Jul 152013 Jul 19

Publication series

NameElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Other

Other2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
CountryUnited States
CitySan Jose, CA
Period13/7/1513/7/19

Keywords

  • Image Retrieval
  • Keypoint Matching
  • SIFT
  • Vehicle Make and Model Recognition
  • View Invariance

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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