NDLI: Confluence of parameters in model based tracking

Content Provider	IEEE Xplore Digital Library
Author	Kragic, D. Christensen, H.I.
Copyright Year	2003
Description	Author affiliation: Centre for Autonomous Syst., R. Inst. of Technol., Stockholm, Sweden (Kragic, D.; Christensen, H.I.)
Abstract	During the last decade, model based tracking of objects and its necessity in visual servoing and manipulation has been advocated in a number of systems. Most of these systems demonstrate robust performance for cases where either the background or the object are relatively uniform in color. In terms of manipulation, our basic interest is handling of everyday objects in domestic environments such as a home or an office. In this paper, we consider a number of different parameters that effect the performance of a model-based tracking system. Parameters such as color channels, feature detection, validation gates, outliers rejection and feature selection are considered here and their affect to the overall system performance is discussed. Experimental evaluation shows how some of these parameters can successfully be evaluated (learned) on-line and consequently improve the performance of the system.
Sponsorship	IEEE Robotics & Autom. Soc. Nat. Sci. Council, Taiwan, Ministr. Educ., Taiwan
Starting Page	3485
Ending Page	3490
File Size	471623
Page Count	6
File Format	PDF
ISBN	0780377362
ISSN	10504729
DOI	10.1109/ROBOT.2003.1242129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-14
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Target tracking Visual servoing Robustness Robot kinematics Grasping Numerical analysis Computer science Computer vision System performance
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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