Dynamic Mode Decomposition

J. Grosek, “Robust Real-Time Image Processing Through Dynamic Mode Decomposition”, PhD Thesis, University of Washington, USA, 2013.

J. Grosek, J. Kutz,Dynamic Mode Decomposition for Real-Time Background/Foreground Separation in Video”, Preprint, 2014.

J. Kutz, J. Grosek, X. Fu , S. Brunton, “Multi-Resolution Time-Scale Separation of Video Content using the Dynamic Mode Decomposition”,  International Workshop on Video Processing and Quality Metrics for Consumer Electronic, VPQM 2015, February 2015.

J. Kutz, S. Brunton, X. Fu, "Multi-resolution dynamic mode decomposition for foreground/background separation and object tracking", Workshop on Robust Subspace Learning and Computer Vision, ICCV 2015, December 2015.

J. Grosek, X. Fu,  S. Brunton, J. Kutz, "Dynamic Mode Decomposition for Robust PCA with Applications to Foreground/Background Subtraction in Video Streams", Handbook on Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing, CRC Press, Chapitre 19, May 2016.

N. Erichson and  C. Donovan, "Randomized Low-Rank Dynamic Mode Decomposition for Motion Detection", Preprint, December 2015.

N. Erichson, S. Brunton, J. Kutz, "Compressed Dynamic Mode Decomposition for Real-Time Object Detection", Preprint, December 2015.

S. Pendergrass, J. Kutz, S. Brunton, “Streaming GPU Singular Value and Dynamic Mode Decompositions”, preprint, December 2016.

S. Tirunagari, N. Poh, M. Bober, D. Windridge, "Can DMD obtain a Scene Background in Color?", Preprint, 2016.

J. Kutz, N. Erichson, T. Askham, S. Pendergrass, S. Brunton, "Dynamic Mode Decomposition for Background Modeling", International Workshop on RSL-CV in conjunction with ICCV 2017, October 2017.

S. Hirsh., K. Harris , J. Kutz, B. Brunton, "Centering Data Improves the Dynamic Mode Decomposition", Preprint, June 2019.

I. Haq, K. Fujii, Y. Kawahara, "Dynamic mode decomposition via dictionary learning for foreground modeling in videos", Computer Vision and Image Understanding, 2020.

I. Haq, T. Iwata, Y. Kawahara, "Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos", Computer Vision and Image Understanding, 2021.

T. Krake, A. Bruhn,  B. Eberhardt, D. Weiskopf, "Efficient and Robust Background Modeling with Dynamic Mode Decomposition", Journal of Mathematical Imaging and Vision, December 2021.

J. Han, K. Kou, J. Miao, "Quaternion-based dynamic mode decomposition for background modeling in color videos", Preprint, December 2021.