CONTENT-AWARE H.264 ENCODING FOR TRAFFIC VIDEO TRACKING APPLICATIONS

E. Soyak*, S. A. Tsaftaris, A. K. Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The compression of video can reduce the accuracy of tracking algorithms, which is problematic for centralized applications that rely on remotely captured and compressed video for input. We show the effects of high compression on the features commonly used in real-time video object tracking. We propose a computationally efficient Region of Interest (ROI) extraction method, which is used during standard-compliant H. 264 encoding to concentrate bitrate on regions in video most likely to contain objects of tracking interest (vehicles). This algorithm is shown to significantly increase tracking accuracy, which is measured by employing a commonly used automatic tracker.

Original languageEnglish
Title of host publication2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages730-733
Number of pages4
Publication statusPublished - 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - Dallas
Duration: 14 Mar 201019 Mar 2010

Publication series

NameInternational Conference on Acoustics Speech and Signal Processing ICASSP
PublisherIEEE
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
CityDallas
Period14/03/1019/03/10

Keywords

  • Urban traffic video tracking
  • ROI extraction
  • video compression
  • kurtosis

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