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

Si Tian; Benkang Chang; Youtang Gao; Yafeng Qiu; Jianliang Qiao; Rongguo Fu

doi:10.1117/12.725576

29 January 2007 Motion detection and estimation in low-level-light video sequence

Si Tian, Benkang Chang, Youtang Gao, Yafeng Qiu, Jianliang Qiao, Rongguo Fu

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 627951 (2007) https://doi.org/10.1117/12.725576
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

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.

Citation Download Citation

Si Tian, Benkang Chang, Youtang Gao, Yafeng Qiu, Jianliang Qiao, and Rongguo Fu "Motion detection and estimation in low-level-light video sequence", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 627951 (29 January 2007); https://doi.org/10.1117/12.725576

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