Affine real-time face tracking using gabor wavelet networks
Krüger, Volker LU
; Happe, Alexander
and Sommer, Gerald
(2000)
In Proceedings-International Conference on Pattern Recognition
15(1).
p.127-130
- Abstract
In this article we present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows arbitrary affine deformations of the facial image, it allows to generalize from an individual face template to a rather general face template and it allows to adapt the computational needs of the tracking algorithm to the computational resources available. The method presented was implemented on a Linux Pentium 450 MHz and runs off-line with 25 Hz and on-line, using an active camera mount, with 22 Hz. We present experimentals results on off-line tests on several common image sequences including the salesman-sequence as well as on on-line tests.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/52a7eb06-f7e4-477a-bb9f-d0b5bfacb34b
- author
- Krüger, Volker
LU
; Happe, Alexander
and Sommer, Gerald
- publishing date
- 2000-01-01
- type
- Contribution to journal
- publication status
- published
- in
- Proceedings-International Conference on Pattern Recognition
- volume
- 15
- issue
- 1
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:33750956566
- ISSN
- 1051-4651
- DOI
- 10.1109/ICPR.2000.905289
- language
- English
- LU publication?
- no
- id
- 52a7eb06-f7e4-477a-bb9f-d0b5bfacb34b
- date added to LUP
- 2019-07-08 21:29:16
- date last changed
- 2022-02-15 22:34:36
@article{52a7eb06-f7e4-477a-bb9f-d0b5bfacb34b,
abstract = {{<p>In this article we present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows arbitrary affine deformations of the facial image, it allows to generalize from an individual face template to a rather general face template and it allows to adapt the computational needs of the tracking algorithm to the computational resources available. The method presented was implemented on a Linux Pentium 450 MHz and runs off-line with 25 Hz and on-line, using an active camera mount, with 22 Hz. We present experimentals results on off-line tests on several common image sequences including the salesman-sequence as well as on on-line tests.</p>}},
author = {{Krüger, Volker and Happe, Alexander and Sommer, Gerald}},
issn = {{1051-4651}},
language = {{eng}},
month = {{01}},
number = {{1}},
pages = {{127--130}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{Proceedings-International Conference on Pattern Recognition}},
title = {{Affine real-time face tracking using gabor wavelet networks}},
url = {{http://dx.doi.org/10.1109/ICPR.2000.905289}},
doi = {{10.1109/ICPR.2000.905289}},
volume = {{15}},
year = {{2000}},
}