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Proceedings Paper

Motion detection and estimation in low-level-light video sequence
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Paper Abstract

This article introduces motion detection and estimation of low-level-light video sequence, and, motion detection, motion estimation and variational problem. Low-level-light video sequence different form others, the time and space domain noise in the signal not only limit the lowest illuminance of the system but also make the image show random glitter. In this paper how to improve the signal-to-noise ratio (SNR) of low light level image is discussed too. The results show that models and estimation algorithms in low-level-light video sequence can lead to improve reliability and accuracy of the estimated motion.

Paper Details

Date Published: 29 January 2007
PDF: 7 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 627951 (29 January 2007); doi: 10.1117/12.725576
Show Author Affiliations
Si Tian, Nanjing Univ. of Science and Technology (China)
Nanyang Institute of Technology (China)
Benkang Chang, Nanjing Univ. of Science and Technology (China)
Youtang Gao, Nanjing Univ. of Science and Technology (China)
Nanyang Institute of Technology (China)
Yafeng Qiu, Nanjing Univ. of Science and Technology (China)
Jianliang Qiao, Nanjing Univ. of Science and Technology (China)
Nanyang Institute of Technology (China)
Rongguo Fu, Nanyang Institute of Technology (China)


Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics

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