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Erschienen in: Wireless Personal Communications 3/2014

01.10.2014

Combination of Multiple Measurement Cues for Visual Face Tracking

verfasst von: Nikolaos Katsarakis, Aristodemos Pnevmatikakis, Zheng-Hua Tan, Ramjee Prasad

Erschienen in: Wireless Personal Communications | Ausgabe 3/2014

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Abstract

Visual face tracking is an important building block for all intelligent living and working spaces, as it is able to locate persons without any human intervention or the need for the users to carry sensors on themselves. In this paper we present a novel face tracking system built on a particle filtering framework that facilitates the use of non-linear visual measurements on the facial area. We concentrate on three different such non-linear visual measurement cues, namely object detection, foreground segmentation and colour matching. We derive robust measurement likelihoods under a unified representation scheme and fuse them into our face tracking algorithm. This algorithm is complemented with optimum selection of the particle filter’s object model and a target handling scheme. The resulting face tracking system is extensively evaluated and compared to baseline ones.

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Fußnoten
1
To obtain the sequence and the annotations contact the authors.
 
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Metadaten
Titel
Combination of Multiple Measurement Cues for Visual Face Tracking
verfasst von
Nikolaos Katsarakis
Aristodemos Pnevmatikakis
Zheng-Hua Tan
Ramjee Prasad
Publikationsdatum
01.10.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1900-2

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