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..

Full text not available from this repository.

Abstract

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

Update Item