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» Fast and robust appearance-based tracking
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ICCV
2009
IEEE
13 years 3 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
ICMCS
2009
IEEE
184views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Structure and appearance features for robust 3D facial actions tracking
This paper presents a robust and accurate method for joint head pose and facial actions tracking, even under challenging conditions such as varying lighting, large head movements,...
Stéphanie Lefevre, Jean-Marc Odobez
CVPR
2005
IEEE
13 years 11 months ago
Hand Tracking with Flocks of Features
This paper introduces “Flocks of Features,” a fast tracking method for non-rigid and highly articulated objects such as hands. It combines KLT features and a learned foregroun...
Mathias Kölsch, Matthew Turk
EMNLP
2007
13 years 7 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
ICMCS
2007
IEEE
195views Multimedia» more  ICMCS 2007»
14 years 2 days ago
Robust People Detection and Tracking in a Multi-Camera Indoor Visual Surveillance System
In this paper we describe the analysis component of an indoor, real-time, multi-camera surveillance system. The analysis includes: (1) a novel feature-level foreground segmentatio...
Tao Yang, Francine Chen, Don Kimber, Jim Vaughan