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» Tracking Large Variable Numbers of Objects in Clutter
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ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
15 years 3 months ago
A New Approach to the Use of Edge Extremities for Model-based Object Tracking
— This paper presents a robust model-based visual tracking algorithm that can give accurate 3D pose of a rigid object. Our tracking algorithm uses an incremental pose update sche...
Youngrock Yoon, Akio Kosaka, Jae Byung Park, Avina...
ICCV
2009
IEEE
14 years 7 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
ICIP
2000
IEEE
15 years 11 months ago
Mean Shift and Optimal Prediction for Efficient Object Tracking
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
Dorin Comaniciu, Visvanathan Ramesh
CVPR
2005
IEEE
15 years 11 months ago
Using Particles to Track Varying Numbers of Interacting People
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
CLEAR
2007
Springer
211views Biometrics» more  CLEAR 2007»
15 years 3 months ago
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional,...
Oswald Lanz, Paul Chippendale, Roberto Brunelli