Proposal of low-resolution vehicle image recognition method

Yusuke Kanzawa, Takenao Ohkawa, Toshio Ito

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

4 Citations (Scopus)

Abstract

Developing on-board automotive driver assistance systems aiming to alert drivers about driving environments and possible collision with other vehicles has attracted a lot of attention recently. Especially, many researchers have proposed the forward vehicle recognition method by a camera on vehicle. In the forward vehicle recognition, however, it is difficult to detect the features of vehicle from a distant vehicle image by conventional methods because the image is too low-resolution (LR). This paper presents a vehicle image recognition method for detecting features of a distant vehicle by frame-merging of image sequences. To detect vehicle features of a distant LR vehicle image, we use the image sequences obtained from the camera on the vehicle, and utilize super-resolution (SR) image reconstruction. In SR image reconstruction, signal processing methods are utilized to obtain a high-resolution image from observed multiple LR images. Through the experiments using real road images, we show the effectiveness of the proposed methods.

Original languageEnglish
Title of host publication2008 IEEE Intelligent Vehicles Symposium, IV
Pages43-48
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 IEEE Intelligent Vehicles Symposium, IV - Eindhoven, Netherlands
Duration: 2008 Jun 42008 Jun 6

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Other

Other2008 IEEE Intelligent Vehicles Symposium, IV
CountryNetherlands
CityEindhoven
Period08/6/408/6/6

ASJC Scopus subject areas

  • Modelling and Simulation
  • Automotive Engineering
  • Computer Science Applications

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  • Cite this

    Kanzawa, Y., Ohkawa, T., & Ito, T. (2008). Proposal of low-resolution vehicle image recognition method. In 2008 IEEE Intelligent Vehicles Symposium, IV (pp. 43-48). [4621196] (IEEE Intelligent Vehicles Symposium, Proceedings). https://doi.org/10.1109/IVS.2008.4621196