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Tracking Techniques for Visual Servoing Tasks
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-2965-2953
2000 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Many of today's visual servoing systems rely on the use of markers on the object to provide features for control. There is thus a need for a visual system that provides control features regardless of the appearance of the object. Region based tracking is a natural approach since it does not require any special type of features. In this paper we present two different approaches to region based tracking: 1) a multi-resolution gradient based approach (using optical flow); and 2) a discrete feature based search approach. We present experiments conducted with both techniques for different types of image motions. Finally, the performance, drawbacks and limitations of used techniques are discussed

Place, publisher, year, edition, pages
2000. 1663-1669 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-82264DOI: 10.1109/ROBOT.2000.844835OAI: oai:DiVA.org:kth-82264DiVA: diva2:498058
Conference
International Conference on Robotics and Automation
Note
NR 20140805Available from: 2012-02-11 Created: 2012-02-11Bibliographically approved

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Kragic, Danica

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