Dynamic texture recognition using optical flow features and temporal periodicity

Fazekas, Alexandru and Csetverikov, Dmitrij (2007) Dynamic texture recognition using optical flow features and temporal periodicity. In: CBMI 2007. 2007 international workshop on content-based multimedia indexing. Bordeaux, 2007..

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We address the problem of dynamic texture (DT) classification using optical flow features. Optical flow based approaches dominate among the currently available DT recognition methods. We introduce rotation- and scale-invariant DT features based on local image distortions computed via optical flow. Then we describe an SVD-based method for measuring the degree of temporal periodicity of a dynamic texture. Finally, we present the results of a DT classification study that compares the performances of different flow features for normal and complete optical flows.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: dynamic texture, classification, optical flow, temporal periodicity
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Geometric Modelling and Computer Vision Laboratory
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 15:29
Last Modified: 11 Dec 2012 15:29
URI: https://eprints.sztaki.hu/id/eprint/5015

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