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

Yoshihiko Suzuki, Masahiro Horie, Toshio Sato, Junichi Nakamura

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
出版ステータスPublished - 2013
外部発表はい
イベント20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan
継続期間: 2013 10 142013 10 18

Other

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

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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