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FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
15 years 10 months ago
Particle Filtering with Factorized Likelihoods for Tracking Facial Features
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
Ioannis Patras, Maja Pantic
176
Voted
ICPR
2010
IEEE
15 years 8 months ago
Coarse-To-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices
Due to the widely spread mobile devices over the years, a low cost implementation of an efficient head tracking system is becoming more useful for a wide range of applications. In...
Hacheon Sung, Kwontaeg Choi, Hyeran Byun
VCIP
2003
192views Communications» more  VCIP 2003»
15 years 7 months ago
Performance measures for video object segmentation and tracking
We propose measures to evaluate the performance of video object segmentation and tracking methods quantitatively without ground-truth segmentation maps. The proposed measures are ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
VCIP
2000
146views Communications» more  VCIP 2000»
15 years 7 months ago
Novel video coding scheme using adaptive mesh-based interpolation and node tracking
An alternative method to H.263 for encoding of moving images at bit rates below 64 kbit/s is presented using adaptive spatial subsampling, mesh based interpolation and node tracki...
Eckhart Baum, Joachim Speidel
IJCV
2008
188views more  IJCV 2008»
15 years 6 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin