A fast motion sensing algorithm for vision based mobile phones user interface design
A fast motion sensing algorithm for vision based mobile phones user interface design is proposed in this paper. In this paper, video frames captured using camera incorporated on mobile phone will be used to determine the phone's motion, instead of using the accelerometer motion sensor. In our p...
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| Format: | Book Section |
| Language: | English |
| Published: |
IEEE
2009
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/1929/ http://shdl.mmu.edu.my/1929/1/A%20fast%20motion%20sensing%20algorithm%20for%20vision%20based%20mobile%20phones%20user%20interface%20design.pdf |
| _version_ | 1848789916712960000 |
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| author | Chang, Yoong Choon Neo, Tse Kian Lee, Melissa |
| author_facet | Chang, Yoong Choon Neo, Tse Kian Lee, Melissa |
| author_sort | Chang, Yoong Choon |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | A fast motion sensing algorithm for vision based mobile phones user interface design is proposed in this paper. In this paper, video frames captured using camera incorporated on mobile phone will be used to determine the phone's motion, instead of using the accelerometer motion sensor. In our proposed motion sensing algorithm, Gray-Level Grouping and Comparison (GLGC) is firstly used to reduce the number of possible feature blocks, followed by feature block selection using Cross First Order Image Derivative (CFOID). Our motion sensing algorithm is then followed by using Diamond Search (DS) incorporating Integral-Successive Elimination Algorithm (ISEA) for block matching. Lastly, Simple Dominant Global Motion Estimation (SDGME) is used to estimate a global motion. Compared with the existing motion sensing techniques, our proposed algorithm is able to reduce the number of computation significantly without sacrificing the sensing accuracy. |
| first_indexed | 2025-11-14T18:04:19Z |
| format | Book Section |
| id | mmu-1929 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:04:19Z |
| publishDate | 2009 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-19292014-12-16T09:04:53Z http://shdl.mmu.edu.my/1929/ A fast motion sensing algorithm for vision based mobile phones user interface design Chang, Yoong Choon Neo, Tse Kian Lee, Melissa T Technology (General) QA75.5-76.95 Electronic computers. Computer science A fast motion sensing algorithm for vision based mobile phones user interface design is proposed in this paper. In this paper, video frames captured using camera incorporated on mobile phone will be used to determine the phone's motion, instead of using the accelerometer motion sensor. In our proposed motion sensing algorithm, Gray-Level Grouping and Comparison (GLGC) is firstly used to reduce the number of possible feature blocks, followed by feature block selection using Cross First Order Image Derivative (CFOID). Our motion sensing algorithm is then followed by using Diamond Search (DS) incorporating Integral-Successive Elimination Algorithm (ISEA) for block matching. Lastly, Simple Dominant Global Motion Estimation (SDGME) is used to estimate a global motion. Compared with the existing motion sensing techniques, our proposed algorithm is able to reduce the number of computation significantly without sacrificing the sensing accuracy. IEEE 2009-08 Book Section NonPeerReviewed text en http://shdl.mmu.edu.my/1929/1/A%20fast%20motion%20sensing%20algorithm%20for%20vision%20based%20mobile%20phones%20user%20interface%20design.pdf Chang, Yoong Choon and Neo, Tse Kian and Lee, Melissa (2009) A fast motion sensing algorithm for vision based mobile phones user interface design. In: 2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing. IEEE, pp. 336-341. ISBN 978-1-4244-4561-5 http://dx.doi.org/10.1109/PACRIM.2009.5291348 doi:10.1109/PACRIM.2009.5291348 doi:10.1109/PACRIM.2009.5291348 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Chang, Yoong Choon Neo, Tse Kian Lee, Melissa A fast motion sensing algorithm for vision based mobile phones user interface design |
| title | A fast motion sensing algorithm for vision based mobile phones user interface design |
| title_full | A fast motion sensing algorithm for vision based mobile phones user interface design |
| title_fullStr | A fast motion sensing algorithm for vision based mobile phones user interface design |
| title_full_unstemmed | A fast motion sensing algorithm for vision based mobile phones user interface design |
| title_short | A fast motion sensing algorithm for vision based mobile phones user interface design |
| title_sort | fast motion sensing algorithm for vision based mobile phones user interface design |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/1929/ http://shdl.mmu.edu.my/1929/ http://shdl.mmu.edu.my/1929/ http://shdl.mmu.edu.my/1929/1/A%20fast%20motion%20sensing%20algorithm%20for%20vision%20based%20mobile%20phones%20user%20interface%20design.pdf |