DocumentCode :
2541991
Title :
Mixtures of dynamic textures
Author :
Chan, Antoni B. ; Vasconcelos, Nuno
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, CA, USA
Volume :
1
fYear :
2005
fDate :
17-21 Oct. 2005
Firstpage :
641
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.
Keywords :
computer vision; expectation-maximisation algorithm; image texture; learning (artificial intelligence); video signal processing; EM algorithm; computer vision; dynamic texture; learning algorithm; videos collection; visual process; Application software; Biological system modeling; Birds; Computer vision; Fires; Remote monitoring; Stochastic processes; Tracking; Vegetation; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
ISSN :
1550-5499
Print_ISBN :
0-7695-2334-X
Type :
conf
DOI :
10.1109/ICCV.2005.151
Filename :
1541314
Link To Document :
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