An Adaptive Face Tracker with Application in Yawning Detection

An Adaptive Face Tracker with Application in Yawning Detection

In this work, we propose an adaptive face tracking scheme that compensates for possible face tracking errors during its operation. The proposed scheme is equipped with a tracking divergence estimate, which allows to detect early and minimize the face tracking errors, so the tracked face is not misse...

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Bibliographic Details
Main Authors: Aasim Khurshid, Jacob Scharcanski
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
face tracking
error prediction
features resyncing
online learning
incremental pca
yawning detection
feature extraction for emotion analysis
Online Access:https://www.mdpi.com/1424-8220/20/5/1494

Internet

https://www.mdpi.com/1424-8220/20/5/1494

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