Interval least-squares filtering with applications to robust video target tracking

Baohua Li, Changchun Li, Jennie Si, Glen P. Abousleman

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

2 Scopus citations

Abstract

An interval recursive least-squares (RLS) filter is developed to produce state estimation and prediction by narrow intervals, in which true values are contained with high confidence. The interval filter is robust to variations of the filter parameters and state observations. Using this filter, a video target tracking algorithm is proposed to estimate the target position in each frame. The tracking algorithm is robust to both noise in the video sequence and estimation error of the affine model. The experiments show that the tracking algorithm using the interval RLS filter outperforms that using an RLS filter.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages3397-3400
Number of pages4
DOIs
StatePublished - Sep 16 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

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

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

Keywords

  • Interval estimation
  • Recursive least-squares
  • Robust filter
  • Video target tracking

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Interval least-squares filtering with applications to robust video target tracking'. Together they form a unique fingerprint.

  • Cite this

    Li, B., Li, C., Si, J., & Abousleman, G. P. (2008). Interval least-squares filtering with applications to robust video target tracking. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 3397-3400). [4518380] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518380