A new adaptive zoom algorithm for tracking targets using Pan-tilt-zoom cameras

Himanshu Shah, Darryl Morrell

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

1 Scopus citations

Abstract

We present a new method to adaptively configure the focallength of a Pan-Tilt-Zoom camera to track a point target with improved accuracy. The target tracker is implemented by using a Rao-Blackwellized Particle Filter. The focal-length of the camera is configured to include a time varying percentage of the projected particles on the camera image plane. The performance of the adaptive zoom algorithm was evaluated using Monte Carlo simulations and found to significantly reduce tracking errors compared to a previous method presented by the same authors.

Original languageEnglish (US)
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages59-63
Number of pages5
StatePublished - Dec 1 2005
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Oct 28 2005Nov 1 2005

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2005
ISSN (Print)1058-6393

Other

Other39th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period10/28/0511/1/05

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Shah, H., & Morrell, D. (2005). A new adaptive zoom algorithm for tracking targets using Pan-tilt-zoom cameras. In Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers (pp. 59-63). [1599701] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2005).