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Mathematical Problems in Engineering


Describing the dynamic textures has attracted growing attention in the field of computer vision and pattern recognition. In this paper, a novel approach for recognizing dynamic textures, namely, high order volumetric directional pattern (HOVDP), is proposed. It is an extension of the volumetric directional pattern (VDP) which extracts and fuses the temporal information (dynamic features) from three consecutive frames. HOVDP combines the movement and appearance features together considering the nth order volumetric directional variation patterns of all neighboring pixels from three consecutive frames. In experiments with two challenging video face databases, YouTube Celebrities and Honda/UCSD, HOVDP clearly outperformed a set of state-of-the-art approaches.


This manuscript was prepared based on the research that has been conducted as a part of the doctoral dissertation work of Almabrok Essa at the University of Dayton, Dayton, Ohio. The original dissertation document is available at!etd.send file?accession=dayton150- 0901918995427&disposition=inline.




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This work is licensed under a Creative Commons Attribution 4.0 International License.