An efficient prediction scheme for pedestrian tracking with cascade particle filter and its implementation on cell/B.E.

Takehiro Ishiguro, Ryusuke Miyamoto

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

4 Citations (Scopus)

Abstract

Cascade Particle Filter was proposed for accurate object recognition in low frame rate video. However, Cascade Particle Filter can be expected to enhance the accuracy of recognition even in a regular frame rate video because of its run-time learning procedure. To apply such cascade particle .lter for pedestrian recognition on surveillance and automotive applications, we propose an ef.cient prediction scheme optimized for pedestrian tracking in such applications. Moreover, we implement proposed scheme on Cell/B.E., one of the latest embedded high performance processors, to demonstrate realtime pedestrian tracking on embedded systems. Experimental result shows that proposed scheme inproves pedestrian tracking accuracy by 22% with real-time processing on 30 fps video.

Original languageEnglish
Title of host publicationISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
Pages29-32
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 - Kanazawa, Japan
Duration: 7 Dec 20099 Dec 2009

Publication series

NameISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings

Conference

Conference2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009
CountryJapan
CityKanazawa
Period7/12/099/12/09

Keywords

  • Cascade particle filter
  • Cell/B.E.
  • Pedestrian tracking
  • Prediction model

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    Ishiguro, T., & Miyamoto, R. (2009). An efficient prediction scheme for pedestrian tracking with cascade particle filter and its implementation on cell/B.E. In ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings (pp. 29-32). [5383910] (ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings). https://doi.org/10.1109/ISPACS.2009.5383910