iTRAC: Intelligent Compression of Traffic Video

Non-intrusive video imaging sensors are commonly used in traffic monitoring and surveillance. For some applications it is necessary to transmit the video data over communication links. However, due to increased requirements of bit-rate this means either expensive wired communication links or the video data being heavily compressed to not exceed the allowed communications bandwidth. Current video imaging solutions utilize old video compression standards and require dedicated wired communication lines. Recently H.264 (the newest video compression standard) has been proposed to be used in transportation applications. However, most video compression algorithms are not optimized for traffic video data and do not take into account the possible data analysis that will follow either in real time at the control center or offline. As a result of compression, the visual quality of the data may be low, but more importantly, as our research efforts in vehicle tracking have shown, the tracking accuracy and efficiency is severely affected. We propose to develop a module that will operate within the constraints of the H.264 video compression standard. It will aim to improve the performance of traffic tracking applications while using the same transmission bandwidth or maintaining the same level of performance while reducing bandwidth usage. The output of our project will be is a module that will be embedded into the hardware video compression encoder at the field node.


  • English


  • Status: Completed
  • Funding: $151370.00
  • Sponsor Organizations:

    Center for the Commercialization of Innovative Transportation Technology

    Northwestern University
    Evanston, IL  United States  60208
  • Principal Investigators:

    Katsaggelos, Aggelos

  • Start Date: 20090401
  • Expected Completion Date: 0
  • Actual Completion Date: 20100901
  • Source Data: RiP Project 22250

Subject/Index Terms

Filing Info

  • Accession Number: 01462104
  • Record Type: Research project
  • Source Agency: Center for the Commercialization of Innovative Transportation Technology
  • Files: UTC, RIP
  • Created Date: Jan 3 2013 1:58PM