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Active Gaze Stabilization
Computer Science, University of British Columbia, Canada.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-5698-5983
Computer Science, University of British Columbia, Canada.
2014 (English)In: Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing / [ed] A. G. Ramakrishnan, ACM Digital Library, 2014, 81:1-81:8 p.Conference paper, Published paper (Refereed)
Abstract [en]

We describe a system for active stabilization of cameras mounted on highly dynamic robots. To focus on careful performance evaluation of the stabilization algorithm, we use a camera mounted on a robotic test platform that can have unknown perturbations in the horizontal plane, a commonly occurring scenario in mobile robotics. We show that the camera can be eectively stabilized using an inertial sensor and a single additional motor, without a joint position sensor. The algorithm uses an adaptive controller based on a model of the vertebrate Cerebellum for velocity stabilization, with additional drift correction. We have alsodeveloped a resolution adaptive retinal slip algorithm that is robust to motion blur.

We evaluated the performance quantitatively using another high speed robot to generate repeatable sequences of large and fast movements that a gaze stabilization system can attempt to counteract. Thanks to the high-accuracy repeatability, we can make a fair comparison of algorithms for gaze stabilization. We show that the resulting system can reduce camera image motion to about one pixel per frame on average even when the platform is rotated at 200 degrees per second. As a practical application, we also demonstrate how the common task of face detection benets from active gaze stabilization.

Place, publisher, year, edition, pages
ACM Digital Library, 2014. 81:1-81:8 p.
Keyword [en]
Gaze stabilization, active vision, Cerebellum, VOR, adaptive control
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-114318DOI: 10.1145/2683483.2683565ISBN: 978-1-4503-3061-9 (print)OAI: oai:DiVA.org:liu-114318DiVA: diva2:789200
Conference
The ninth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP’14), December 14-17, Bangalore, Karnataka, India
Projects
Learnable Camera Motion Models
Funder
Swedish Research Council
Available from: 2015-02-18 Created: 2015-02-18 Last updated: 2016-05-03Bibliographically approved

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Forssén, Per-Erik
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