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» Probabilistic Object Tracking Using Multiple Features
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IBPRIA
2003
Springer
14 years 27 days ago
Probabilistic Observation Models for Tracking Based on Optical Flow
In this paper, we present two new observation models based on optical flow information to track objects using particle filter algorithms. Although optical flow information enabl...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
IJCV
2002
133views more  IJCV 2002»
13 years 7 months ago
Probabilistic Tracking with Exemplars in a Metric Space
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
Kentaro Toyama, Andrew Blake
ICIP
2006
IEEE
14 years 1 months ago
Recursive Clustering for Multiple Object Tracking
In this paper, we propose a method to track multiple deformable objects in video sequences using a recursive clustering scheme. In a first step, a set of Gabor filter banks is u...
Séverine Dubuisson
JMLR
2010
95views more  JMLR 2010»
13 years 2 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
VR
2002
IEEE
261views Virtual Reality» more  VR 2002»
14 years 18 days ago
VizWear-3D: A Wearable 3-D Annotation System Based on 3-D Object Tracking Using a Condensation Algorithm
We have developed a method for recognizing and tracking known three-dimensional objects in scene images captured from a user’s viewpoint. The method uses multiple color histogra...
Takashi Okuma, Takeshi Kurata, Katsuhiko Sakaue