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 |
Files in This Item:
File | Description | Size | Format | |
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A_Kalman_filter_based_occlusion_handler_for_lengthy_occlusions.pdf Until 2050-12-31 | 222.15 kB | Adobe PDF | View/Open Request a copy |
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