Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields

Author:

Crivelli Tomás,Cernuschi-Frias Bruno,Bouthemy Patrick,Yao Jian-Feng

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Dynamic Texture Classification with Probabilistic Motifs;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

2. Filtering in Gaussian Linear Systems With Fuzzy Switches;IEEE Transactions on Fuzzy Systems;2020-08

3. Trajectory Extraction and Deep Features for Classification of Liquid-gas Flow under the Context of Forced Oscillation;Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2020

4. CNN-based temporal detection of motion saliency in videos;Pattern Recognition Letters;2019-12

5. Dynamic Texture Recognition Using Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields;Journal of Mathematical Imaging and Vision;2018-06-20

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