Face-TLD: Tracking-Learning-Detection Applied to Faces

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00175547" target="_blank" >RIV/68407700:21230/10:00175547 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Face-TLD: Tracking-Learning-Detection Applied to Faces
Original language description
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a generic detector and a validator which is designed for real-time face tracking resistent to occlusions and appearance changes. The off-line trained detector localizes frontal faces and the online trained validator decides which faces corre- spond to the tracked subject. Several strategies for build- ing the validator during tracking are quantitatively evaluated. The system is validated on a sitcom episode (23 min.) and a surveillance (8 min.) video. In both cases the system detects- tracks the face and automatically learns a multi-view model from a single frontal example and an unlabeled video.
Czech name
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Czech description
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Project
<a href="/en/project/GAP103%2F10%2F1585" target="_blank" >GAP103/10/1585: Advanced predictors for object detection and tracking in video</a><br>
Continuities
R - Projekt Ramcoveho programu EK

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
17th IEEE International Conference on Image Processing (ICIP 2010)
ISBN
978-1-4244-7994-8
ISSN
1522-4880
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Signal Processing Society
Place of publication
New Jersey
Event location
Hong Kong
Event date
Sep 26, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000287728003212

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