Full-Body Occlusion Handling and Density Analysis in Traffic Video-Surveillance Systems

Vision-based traffic surveillance systems are among the most reliable, inexpensive, and highly applicable methodologies for surveying traffic conditions. The implementation of these strategies, however, is limited under certain conditions, such as the presence of vehicle occlusions or poor illumination conditions that lead to either overcounted or undercounted traffic data. The proposed motion-based methodology is intended to overcome these limitations by using a new technique for full-body occlusion handling of vehicles. The methodology is based on five main steps: calibration, detection, tracking, counting, and occlusion handling. The proposed methodology was tested with various 30-min videos and 452 preidentified cases of occlusion. Preliminary results indicated that the proposed methodology was reliable and robust in providing traffic density analysis. Future work may rely on the extension of the proposed methodology to deal with the detection of vehicles moving toward multiple directions.

• Record URL:
  https://doi.org/10.3141/2460-07
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295529
• Authors:
  • Palinginis, Evangelos
  • Park, Man-Woo
  • Kamiya, Keitaro
  • Laval, Jorge
  • Brilakis, Ioannis
  • Guensler, Randall
• Publication Date: 2014

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 58–65
• Monograph Title: Data Systems and Asset Management, Including 2014 Thomas B. Deen Distinguished Lecture
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2460
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Automatic vehicle detection and identification systems; Methodology; Traffic density; Traffic surveillance
• Uncontrolled Terms: Occlusion
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I71: Traffic Theory;

Filing Info

• Accession Number: 01517565
• Record Type: Publication
• ISBN: 9780309295529
• Report/Paper Numbers: 14-1883
• Files: TRIS, TRB, ATRI
• Created Date: Mar 10 2014 9:24AM