An adaptive zoom algorithm for tracking targets using pan-tilt-zoom cameras

Himanshu Shah, Darryl Morrell

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

10 Scopus citations

Abstract

We address the problem of configuring pan-tilt-zoom cameras to track a target maneuvering in three dimensions; in particular, we propose an adaptive zoom algorithm that minimizes target localization errors by adaptively changing the camera focal length. The target tracker is implemented using a Rao-Blackwellized particle filter; the camera focal length is adjusted so that the images of a given percentage of particles fall onto the camera image plane. The focal length adjustment is also modified by a confidence factor that reflects the accuracy of the target position estimate. We evaluate the performance of the adaptive zoom algorithm using Monte Carlo simulations. These simulations demonstrate that the adaptive zoom algorithm has a smaller average squared position estimate error than a comparable fixed zoom algorithm.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

Other

OtherProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing
CountryCanada
CityMontreal, Que
Period5/17/045/21/04

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

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  • Cite this

    Shah, H., & Morrell, D. (2004). An adaptive zoom algorithm for tracking targets using pan-tilt-zoom cameras. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2)