Fast optical flow estimation based on multi-grid

Xiuzhi Li; Songmin Jia; Jun Tan; Xiaolin Yin

doi:10.1117/12.2051203

24 December 2013 Fast optical flow estimation based on multi-grid

Xiuzhi Li, Songmin Jia, Jun Tan, Xiaolin Yin

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 906724 (2013) https://doi.org/10.1117/12.2051203
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

Estimation efficiency is one of key topics in computationally intense optical flow algorithm. Traditional numerical iterative methods are effective at eliminating the high frequency components of the estimation error, while keeping most of low frequency components unchanged. In this paper, we consider the multi-grid based real-time implementation of dense optical flow computation by classical Horn-Schunck model. For this purpose, establishing of the linear set of equation, which is required in linear multi-grid model, is carefully studied, and the overall multi-grid framework is presented. Efficiency and effectiveness of the proposed algorithm is validated by experimental results.

Citation Download Citation

Xiuzhi Li, Songmin Jia, Jun Tan, and Xiaolin Yin "Fast optical flow estimation based on multi-grid", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906724 (24 December 2013); https://doi.org/10.1117/12.2051203

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