Visual measurement cues for face tracking

Aristodemos Pnevmatikakis; Andreas Stergiou; Theodoros Petsatodis; Nikolaos Katsarakis

doi:10.1109/ICDSP.2013.6622722

Visual measurement cues for face tracking

Aristodemos Pnevmatikakis, Andreas Stergiou, Theodoros Petsatodis, Nikolaos Katsarakis

Department of Electronic Systems

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Particle filters allow for visual trackers with nonlinear measurements. In this paper we consider three different non-linear visual measurement cues, based on object detection, foreground segmentation and colour matching. Novel ways to obtain robust measurement likelihoods under a unified representation scheme are discussed, followed by a likelihood combination scheme for fusion. The resulting single and multi-cue particle filter trackers are compared in the scope of face tracking.

Original language	English
Title of host publication	2013 18th International Conference on Digital Signal Processing, DSP 2013
Number of pages	6
Publisher	IEEE Press
Publication date	6 Dec 2013
Pages	1-6
Article number	6622722
ISBN (Print)	978-146735805-7
ISBN (Electronic)	978-1-4673-5807-1
DOIs	https://doi.org/10.1109/ICDSP.2013.6622722
Publication status	Published - 6 Dec 2013
Event	International conference on Digital Signal Processing - Fira, Greece Duration: 1 Jul 2013 → 3 Jul 2013 Conference number: 18 http://dsp2013.dspconferences.org/

Conference

Conference	International conference on Digital Signal Processing
Number	18
Country/Territory	Greece
City	Fira
Period	01/07/2013 → 03/07/2013
Internet address	http://dsp2013.dspconferences.org/

Series	International Conference on Digital Signal Processing proceedings
ISSN	1546-1874

Keywords

Face tracking
Fusion
Likelihood function
Particle filters
Visual measurements

Access to Document

10.1109/ICDSP.2013.6622722

http://www.scopus.com/inward/record.url?scp=84888883802&partnerID=8YFLogxK

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

@inproceedings{9f03a0c9fc8646b9a0d8e59770ce7502,

title = "Visual measurement cues for face tracking",

abstract = "Particle filters allow for visual trackers with nonlinear measurements. In this paper we consider three different non-linear visual measurement cues, based on object detection, foreground segmentation and colour matching. Novel ways to obtain robust measurement likelihoods under a unified representation scheme are discussed, followed by a likelihood combination scheme for fusion. The resulting single and multi-cue particle filter trackers are compared in the scope of face tracking.",

keywords = "Face tracking, Fusion, Likelihood function, Particle filters, Visual measurements",

author = "Aristodemos Pnevmatikakis and Andreas Stergiou and Theodoros Petsatodis and Nikolaos Katsarakis",

year = "2013",

month = dec,

day = "6",

doi = "10.1109/ICDSP.2013.6622722",

language = "English",

isbn = "978-146735805-7",

series = "International Conference on Digital Signal Processing proceedings",

pages = "1--6",

booktitle = "2013 18th International Conference on Digital Signal Processing, DSP 2013",

publisher = "IEEE Press",

note = "International conference on Digital Signal Processing ; Conference date: 01-07-2013 Through 03-07-2013",

url = "http://dsp2013.dspconferences.org/",

}

Pnevmatikakis, A, Stergiou, A, Petsatodis, T & Katsarakis, N 2013, Visual measurement cues for face tracking. in 2013 18th International Conference on Digital Signal Processing, DSP 2013., 6622722, IEEE Press, International Conference on Digital Signal Processing proceedings, pp. 1-6, International conference on Digital Signal Processing, Fira, Greece, 01/07/2013. https://doi.org/10.1109/ICDSP.2013.6622722

Visual measurement cues for face tracking. / Pnevmatikakis, Aristodemos; Stergiou, Andreas; Petsatodis, Theodoros et al.
2013 18th International Conference on Digital Signal Processing, DSP 2013. IEEE Press, 2013. p. 1-6 6622722 (International Conference on Digital Signal Processing proceedings).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Visual measurement cues for face tracking

AU - Pnevmatikakis, Aristodemos

AU - Stergiou, Andreas

AU - Petsatodis, Theodoros

AU - Katsarakis, Nikolaos

N1 - Conference code: 18

PY - 2013/12/6

Y1 - 2013/12/6

N2 - Particle filters allow for visual trackers with nonlinear measurements. In this paper we consider three different non-linear visual measurement cues, based on object detection, foreground segmentation and colour matching. Novel ways to obtain robust measurement likelihoods under a unified representation scheme are discussed, followed by a likelihood combination scheme for fusion. The resulting single and multi-cue particle filter trackers are compared in the scope of face tracking.

AB - Particle filters allow for visual trackers with nonlinear measurements. In this paper we consider three different non-linear visual measurement cues, based on object detection, foreground segmentation and colour matching. Novel ways to obtain robust measurement likelihoods under a unified representation scheme are discussed, followed by a likelihood combination scheme for fusion. The resulting single and multi-cue particle filter trackers are compared in the scope of face tracking.

KW - Face tracking

KW - Fusion

KW - Likelihood function

KW - Particle filters

KW - Visual measurements

U2 - 10.1109/ICDSP.2013.6622722

DO - 10.1109/ICDSP.2013.6622722

M3 - Article in proceeding

AN - SCOPUS:84888883802

SN - 978-146735805-7

T3 - International Conference on Digital Signal Processing proceedings

SP - 1

EP - 6

BT - 2013 18th International Conference on Digital Signal Processing, DSP 2013

PB - IEEE Press

T2 - International conference on Digital Signal Processing

Y2 - 1 July 2013 through 3 July 2013

ER -

Visual measurement cues for face tracking

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Cite this