Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/915
Title: A Kalman filter based occlusion handler for lengthy occlusions
Authors: Gnanasekera, M
Kulasekere, E. C
Keywords: Kalman filter based
occlusion handler
lengthy occlusions
mputer Vision Based Tracking
Issue Date: 23-Jan-2016
Publisher: IEEE
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.
Series/Report no.: 2016 International Conference on Microelectronics, Computing and Communications (MicroCom);Pages 1-4
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.
URI: http://rda.sliit.lk/handle/123456789/915
ISBN: 978-1-4673-6621-2
Appears in Collections:Research Papers - Department of Electrical and Electronic Engineering
Research Papers - SLIIT Staff Publications

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