A Kalman filter based occlusion handler for lengthy occlusions

Gnanasekera, M; Kulasekere, E. C

Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/915

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DC Field	Value	Language
dc.contributor.author	Gnanasekera, M	-
dc.contributor.author	Kulasekere, E. C	-
dc.date.accessioned	2022-02-02T07:11:06Z	-
dc.date.available	2022-02-02T07:11:06Z	-
dc.date.issued	2016-01-23	-
dc.identifier.citation	M. Gnanasekera and C. Kulasekere, "A Kalman filter based occlusion handler for lengthy occlusions," 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), 2016, pp. 1-4, doi: 10.1109/MicroCom.2016.7522545.	en_US
dc.identifier.isbn	978-1-4673-6621-2	-
dc.identifier.uri	http://rda.sliit.lk/handle/123456789/915	-
dc.description.abstract	A Kalman Estimation method which is used to estimate the position of an occluded object has a large error caused due to noise. In an occlusion, the work below proposes an algorithm with a proper Altering mechanism which could handle an occlusion with less error. As a result, the proposed algorithm could be used to handle much larger occlusions.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartofseries	2016 International Conference on Microelectronics, Computing and Communications (MicroCom);Pages 1-4	-
dc.subject	Kalman filter based	en_US
dc.subject	occlusion handler	en_US
dc.subject	lengthy occlusions	en_US
dc.subject	mputer Vision Based Tracking	en_US
dc.title	A Kalman filter based occlusion handler for lengthy occlusions	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1109/MicroCom.2016.7522545	en_US
Appears in Collections:	Research Papers - Department of Electrical and Electronic Engineering Research Papers - SLIIT Staff Publications

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