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

Yoshihiko Suzuki; Masahiro Horie; Toshio Sato; Junichi Nakamura

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

Yoshihiko Suzuki, Masahiro Horie, Toshio Sato, Junichi Nakamura

Research output: Contribution to conference › Paper › peer-review

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 Visconti_TM 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 language	English
Publication status	Published - 2013
Externally published	Yes
Event	20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan Duration: 2013 Oct 14 → 2013 Oct 18

Other

Other	20th Intelligent Transport Systems World Congress, ITS 2013
Country/Territory	Japan
City	Tokyo
Period	13/10/14 → 13/10/18

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

Cite this

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title = "Vehicle detection for road surveillance systems using ViscontiTM 2 image recognition processor",

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.",

keywords = "CoHOG, Road surveillance systems, Visconti 2",

author = "Yoshihiko Suzuki and Masahiro Horie and Toshio Sato and Junichi Nakamura",

year = "2013",

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AU - Suzuki, Yoshihiko

AU - Horie, Masahiro

AU - Sato, Toshio

AU - Nakamura, Junichi

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - CoHOG

KW - Road surveillance systems

KW - Visconti 2

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T2 - 20th Intelligent Transport Systems World Congress, ITS 2013

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