Active Traffic Monitoring through Camera Networks with Automatic Camera Calibration for Pan – Tilt – Zoom Cameras

This research focuses on automated processing of video from a persistent surveillance camera array to extract traffic data from a 25 square mile area. In previous research, the research team developed an automated traffic surveillance system capable of processing aerial camera array imagery to extract valid and useful traffic data for diverse applications. In this research, the team continues to improve the system’s capability by adding a novel multiple hypothesis tracking capabilities to improve vehicle tracking in congested traffic and adding a location identification algorithm to map vehicles throughout a network. This evaluation has shown that the proposed system is capable of collecting speed, density, and volume data with an acceptable level of accuracy for many applications. The mapping of vehicles for a sample area was also successful. With further research, improved video preprocessing, enhanced resolution, and a higher frame rate, the accuracy of tracking vehicles can be improved significantly which will eventually allow the envisioned system to be able to accurately map the location of all vehicles throughout a camera array image sequence. A digital real-time “traffic map” created by the envisioned system will provide a robust data set where data mining methods could be applied to enhance traffic management and provide data for a variety of traffic studies. A connected vehicle camera array application can open up plenty of possibilities in real-time traffic surveillance where erratic drivers can be identified automatically and warnings or even shut down commands can be sent to the erratic vehicles. The active sensing capability of such a system can potentially prevent some incidents from occurring thereby increasing safety and reducing incident induced traffic congestion.

Language

• English

Project

• Status: Completed
• Funding: $75,279
• Contract Numbers:

  69A3551747117

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  Center for Connected Multimodal Mobility

  Clemson University
  Clemson, SC  United States  29634

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911

  The Citadel

  Department of Civil and Environmental Engineering
  171 Moultrie Street
  Charleston, SC  United States  29409
• Managing Organizations:

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911
• Project Managers:

  Sarasua, Wayne

• Performing Organizations:

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911

  The Citadel

  Department of Civil and Environmental Engineering
  171 Moultrie Street
  Charleston, SC  United States  29409
• Principal Investigators:

  Sarasua, Wayne

  Brown, Kweku

  Davis, William

  Michalaka, Dimitra

• Start Date: 20171001
• Expected Completion Date: 20200101
• Actual Completion Date: 20200101
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Computer vision; Image processing; Tracking systems; Traffic surveillance; Vehicle detectors
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01884932
• Record Type: Research project
• Source Agency: Center for Connected Multimodal Mobility
• Contract Numbers: 69A3551747117
• Files: UTC, RIP
• Created Date: Jun 14 2023 11:51AM