Detection of multiple dynamic textures using feature space mapping

Title: Detection of multiple dynamic textures using feature space mapping
Creator: Rahman, Ashfaqur; Murshed, Manzur
Date: 2009
Type: Text; Journal article
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/73650
Identifier: vital:7071
Identifier: ISSN:1051-8215
Abstract: Abstract— Image sequences of smoke, fire, etc. are known as dynamic textures. Research is mostly limited to characterization of single dynamic textures. In this paper we address the problem of detecting the presence of multiple dynamic textures in an image sequence by establishing a correspondence between the feature space of dynamic textures and that of their mixture in an image sequence. Accuracy of our proposed technique is both analytically and empirically established with detection experiments yielding 92.5% average accuracy on a diverse set of dynamic texture mixtures in synthetically generated as well as real-world image sequences.
Relation: IEEE Transactions on Circuits and Systems for Video Technology Vol. 19, no. 5 (2009), p. 766-771
Rights: Copyright IEEE
Rights: This metadata is freely available under a CCO license
Subject: Dynamic texture; Motion-based video indexing; Motion co-occurence matrix; Temporal texture; 0906 Electrical and Electronic Engineering; 0801 Artificial Intelligence and Image Processing
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