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» An optical flow probabilistic observation model for tracking
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SIGDIAL
2010
13 years 5 months ago
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
BC
2004
97views more  BC 2004»
13 years 7 months ago
An elaborated model of fly small-target tracking
Flies have the capability to visually track small moving targets, even across cluttered backgrounds. Previous computational models, based on figure detection (FD) cells identified ...
Charles M. Higgins, Vivek Pant
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
14 years 2 days ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Integration of Background Modeling and Object Tracking
Background model and tracking became critical components for many vision-based applications. Typically, background modeling and object tracking are mutually independent in many ap...
Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...
Xue Mei, Shaohua Kevin Zhou, Fatih Porikli