A Robust Line Tracking Method Based on a Multiple Model Kalman Filter Model for Mobile Projector Systems
Refereed conference paper presented and published in conference proceedings


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AbstractLine tracking is essential for many real world applications of computer vision. In thispaper, we propose a computationally efficient line tracker that can robustly andaccurately track lines in an image. We use amultiple-model-Kalman filter (MMKF) scheme which can handle line tracking accurately and robustly. The basic idea is to run N multiple sub-Kalman filters in parallel. Each filter is configuredto use a different state transition model. All the filters are updated by the measurement atthe same time following the conventional Kalman filter update process. The finalprediction is a combination of outputs from all the Kalman filter modules. Theexperimental result shows that the proposed system can track a line robustly in real time. The result is useful in shape detection and should be suitable for building mobile projector applications. (C) 2013 The Authors. Published by Elsevier Ltd.
All Author(s) ListFung HK, Wong KH
Name of Conference4th International Conference on Electrical Engineering and Informatics (ICEEI)
Start Date of Conference24/06/2013
End Date of Conference25/06/2013
Place of ConferenceBangi
Country/Region of ConferenceMalaysia
Detailed descriptionTo ORKTS: Keyword:
4. Hough transform
Year2013
Month1
Day1
Volume Number11
PublisherELSEVIER SCIENCE BV
Pages996 - 1002
eISBN*****************
ISSN2212-0173
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Interdisciplinary Applications; Engineering; Engineering, Electrical & Electronic

Last updated on 2020-17-10 at 00:02