Real-time distributed tracking

Wayne Wolf, Senem Velipasalar, Jason Schlessman, Cheng Yao Chen, Chang Hong Lin

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

3 Scopus citations

Abstract

Distributed smart cameras use distributed computing architectures to analyze imagery from physically distributed cameras. Performing real-time distributed analysis of video introduces substantial new challenges, but also provides substantial benefits over server-based approaches. This work describes some of the algorithms and architectures we have developed for tracking using distributed smart camera systems, including fault-tolerance, synchronization, and multi-band fusion.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesIV1389-IV1392
DOIs
StatePublished - Aug 6 2007
Externally publishedYes
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • Distributed computing
  • Tracking

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Wolf, W., Velipasalar, S., Schlessman, J., Chen, C. Y., & Lin, C. H. (2007). Real-time distributed tracking. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. IV1389-IV1392). [4218369] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4). https://doi.org/10.1109/ICASSP.2007.367338