Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00236248" target="_blank" >RIV/68407700:21230/16:00236248 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICCVW.2015.127" target="_blank" >http://dx.doi.org/10.1109/ICCVW.2015.127</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCVW.2015.127" target="_blank" >10.1109/ICCVW.2015.127</a>
Alternative languages
Result language
angličtina
Original language name
Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector
Original language description
In this paper we describe a tracker of facial landmarks submitted to the 300 Videos in the Wild (300-VW) challenge. Our tracker is a straightforward extension of a well tuned tree-based DPM landmark detector originally developed for static images. The tracker is obtained by applying the static detector independently in each frame and using the Kalman filter to smooth estimates of the face positions as well as to compensate possible failures of the face detector. The resulting tracker provides a robust estimate of 68 landmarks running at 5 fps on an ordinary PC. We provide an open-source implementation of the proposed tracker at (http://cmp.felk.cvut.cz/~uricamic/clandmark/).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LL1303" target="_blank" >LL1303: Large Scale Category Retrieval</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The IEEE International Conference on Computer Vision (ICCV) Workshops
ISBN
978-1-4673-8390-5
ISSN
1550-5499
e-ISSN
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Number of pages
8
Pages from-to
963-970
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Santiago de Chile
Event date
Dec 11, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380434700117