Mixtures of dynamic textures
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings of the IEEE International Conference on Computer Vision |
Pages | 641-647 |
Volume | I |
Publication status | Published - 2005 |
Externally published | Yes |
Conference
Title | Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 |
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Place | China |
City | Beijing |
Period | 17 - 20 October 2005 |
Link(s)
Abstract
A dynamic texture is a linear dynamical system used to model a single video as a sample from a spatio-temporal stochastic process. In this work, we introduce the mixture of dynamic textures, which models a collection of videos consisting of different visual processes as samples from a set of dynamic textures. We derive the EM algorithm for learning a mixture of dynamic textures, and relate the learning algorithm and the dynamic texture mixture model to previous works. Finally, we demonstrate the applicability of the proposed model to problems that have traditionally been challenging for computer vision. © 2005 IEEE.
Citation Format(s)
Mixtures of dynamic textures. / Chan, Antoni B.; Vasconcelos, Nuno.
Proceedings of the IEEE International Conference on Computer Vision. Vol. I 2005. p. 641-647.
Proceedings of the IEEE International Conference on Computer Vision. Vol. I 2005. p. 641-647.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review