A method of reactive zoom control from uncertainty in tracking

The tuning of a constant velocity Kalman filter, used for tracking by a camera fitted with a variable focal-length lens, is shown to be preserved under a scale change in process noise if accompanied by an inverse scaling in the focal length, provided the image measurement error is of fixed size in i...

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Hlavní autoři: Tordoff, B, Murray, D
Médium: Journal article
Jazyk:English
Vydáno: 2007
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author Tordoff, B
Murray, D
author_facet Tordoff, B
Murray, D
author_sort Tordoff, B
collection OXFORD
description The tuning of a constant velocity Kalman filter, used for tracking by a camera fitted with a variable focal-length lens, is shown to be preserved under a scale change in process noise if accompanied by an inverse scaling in the focal length, provided the image measurement error is of fixed size in image coordinates. Based on this observation, a practical method of zoom control has been built by setting an upper limit on the probability that the innovation (and hence fixation error) exceeds the image half-width. The innovation covariance matrix used to determine the innovation limit is derived over two timescales, which enables a rapid zooming out response and slower zooming in. Experimental simulations are presented, before results are given from a video-rate implementation using a camera with two motorized orientation axes and fitted with a computer-controlled zoom lens. The delays in the feedback loops, comprising image capture delay, platform response lag and zoom lens response lag, are carefully calibrated by fitting to their frequency responses. It is found that the cumulative uncertainty in delay gives rise to an image error which is part constant and part proportional to focal length, resulting in a beneficial adaptation of the filter. © 2006 Elsevier Inc. All rights reserved.
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spelling oxford-uuid:e7f39ad5-8b70-4320-bc1e-6a09bcde81f02022-03-27T10:42:55ZA method of reactive zoom control from uncertainty in trackingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e7f39ad5-8b70-4320-bc1e-6a09bcde81f0EnglishSymplectic Elements at Oxford2007Tordoff, BMurray, DThe tuning of a constant velocity Kalman filter, used for tracking by a camera fitted with a variable focal-length lens, is shown to be preserved under a scale change in process noise if accompanied by an inverse scaling in the focal length, provided the image measurement error is of fixed size in image coordinates. Based on this observation, a practical method of zoom control has been built by setting an upper limit on the probability that the innovation (and hence fixation error) exceeds the image half-width. The innovation covariance matrix used to determine the innovation limit is derived over two timescales, which enables a rapid zooming out response and slower zooming in. Experimental simulations are presented, before results are given from a video-rate implementation using a camera with two motorized orientation axes and fitted with a computer-controlled zoom lens. The delays in the feedback loops, comprising image capture delay, platform response lag and zoom lens response lag, are carefully calibrated by fitting to their frequency responses. It is found that the cumulative uncertainty in delay gives rise to an image error which is part constant and part proportional to focal length, resulting in a beneficial adaptation of the filter. © 2006 Elsevier Inc. All rights reserved.
spellingShingle Tordoff, B
Murray, D
A method of reactive zoom control from uncertainty in tracking
title A method of reactive zoom control from uncertainty in tracking
title_full A method of reactive zoom control from uncertainty in tracking
title_fullStr A method of reactive zoom control from uncertainty in tracking
title_full_unstemmed A method of reactive zoom control from uncertainty in tracking
title_short A method of reactive zoom control from uncertainty in tracking
title_sort method of reactive zoom control from uncertainty in tracking
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AT murrayd amethodofreactivezoomcontrolfromuncertaintyintracking
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