title: Estimating the position of a moving object based on test disturbance of camera position
metadata.name: dc.contributor.author
metadata.value: Krivokon, D.S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vakhitov, A.T.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Granichin, O.N.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2016-04-11T17:20:46Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2016-04-11T17:20:46Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2016-02
metadata.lang: -
metadata.name: dc.identifier.issn
metadata.value: 0005-1179
metadata.lang: -
metadata.name: dc.identifier.issn
metadata.value: 1608-3032
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/2057
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The problem of estimating the coordinates of a moving object based on visual data arises in numerous applications, starting from robotic and ending with the consumer market of portable devices. Traditional algorithms for solving this problem require either additional devices or significant constraints on the possible motion of the object. In this work, we present a new approach to tracking the object that lets us estimate its position under sufficiently general conditions. The method is based on randomizing the camera location independently of the object’s motion; since the test disturbance we choose is independent, it lets us construct a feasible iterative pseudogradient estimation algorithm.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: Springer
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vol. 77 Iss. 2;
metadata.lang: -
metadata.name: dc.title
metadata.value: Estimating the position of a moving object based on test disturbance of camera position
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: S0005117916020065.bib
resources.url: https://dspace.spbu.ru/bitstream/11701/2057/1/S0005117916020065.bib
resources.format: Unknown
resources.size: 1,08 kB