Development and Field-Testing of an Image Sensor System with Existing Cameras

In this study, the authors developed an Image Sensor System that enabled continuous acquisition of real-time data on vehicle traffic volume and driving speed at low initial cost by employing a Spatio-Temporal Markov Random Field (MRF) model to utilize the images of existing roadside surveillance cameras, security cameras, and other facilities.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 3918.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Matsunuma, Takeshi
  • Goto, Hidenori
  • Tanaka, Atsushi
  • Kamijo, Shunsuke
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 10p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Cameras; Field tests; Image processing; Markov processes; Sensors; Traffic speed; Traffic surveillance; Traffic surveys; Traffic volume
• Uncontrolled Terms: Spatio-temporal Markov random field models
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01538791
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Sep 26 2014 2:24PM