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» A Co-inference Approach to Robust Visual Tracking
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ICCV
2009
IEEE
14 years 7 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...
SIBGRAPI
2005
IEEE
15 years 3 months ago
Particle Filter-Based Predictive Tracking for Robust Fish Counting
In this paper we study the use of computer vision techniques for for underwater visual tracking and counting of fishes in vivo. The methodology is based on the application of a B...
Erikson F. Morais, Mario Fernando Montenegro Campo...
IVC
2007
301views more  IVC 2007»
14 years 9 months ago
Kinematic sets for real-time robust articulated object tracking
In this article a new approach is given for real-time visual tracking of a class of articulated non-rigid objects in 3D. The main contribution of this paper consists in symmetrica...
Andrew I. Comport, Éric Marchand, Fran&cced...
ICCV
2001
IEEE
15 years 11 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong
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...