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» Algorithmic Fusion for More Robust Feature Tracking
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ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
14 years 9 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
15 years 3 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
BMVC
2002
14 years 12 months ago
Image Fusion Using Complex Wavelets
The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many dispar...
Paul R. Hill, Cedric Nishan Canagarajah, David R. ...
FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
15 years 3 months ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes
JMM2
2006
212views more  JMM2 2006»
14 years 9 months ago
K-means Tracker: A General Algorithm for Tracking People
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...