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» Algorithmic Fusion for More Robust Feature Tracking
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WACV
2008
IEEE
15 years 4 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
CVPR
2003
IEEE
15 years 2 months ago
Appearance Management and Cue Fusion for 3D Model-Based Tracking
This paper presents a systematic approach to acquiring model appearance information online for monocular modelbased tracking. The acquired information is used to drive a set of co...
Nils Krahnstoever, Rajeev Sharma
CVPR
2007
IEEE
15 years 11 months ago
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification
The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
Alex Leykin, Yang Ran, Riad I. Hammoud
CVPR
2005
IEEE
15 years 3 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
ICRA
2006
IEEE
230views Robotics» more  ICRA 2006»
15 years 3 months ago
Sensor Fusion for 3D Human body Tracking with an Articulated 3D Body Model
— This paper proposes a tracking system called VooDoo for 3d tracking of human body movements based on a 3d body model and the Iterative Closest Point (ICP) algorithm. The propos...
Steffen Knoop, Stefan Vacek, Rüdiger Dillmann