Vehicle detection for road surveillance systems using ViscontiTM 2 image recognition processor

Yoshihiko Suzuki, Masahiro Horie, Toshio Sato, Junichi Nakamura

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper, a vehicle detection framework for road surveillance systems is presented. The framework is based on co-occurrence histograms of oriented gradients (CoHOGs), which are effective for object detection, using the ViscontiTM 2 high-performance image recognition processor. We have developed vehicle detection and tracking technologies on the platform and confirmed these technologies can be applied to road surveillance systems.

Original languageEnglish
Publication statusPublished - 2013
Externally publishedYes
Event20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan
Duration: 2013 Oct 142013 Oct 18

Other

Other20th Intelligent Transport Systems World Congress, ITS 2013
CountryJapan
CityTokyo
Period13/10/1413/10/18

Keywords

  • CoHOG
  • Road surveillance systems
  • Visconti 2

ASJC Scopus subject areas

  • Artificial Intelligence
  • Automotive Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation
  • Computer Networks and Communications
  • Computer Science Applications

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