Document Type
Article
Publication Date
2019
Publication Title
Mathematical Problems in Engineering
Abstract
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.
Repository Citation
Essa, Almabrok and Asari, Vijayan, "High Order Volumetric Directional Pattern for Video-Based Face Recognition" (2019). Electrical and Computer Engineering Faculty Publications. 457.
https://engagedscholarship.csuohio.edu/enece_facpub/457
DOI
10.1155/2019/6798750
Version
Publisher's PDF
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
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 https://etd.ohiolink.edu/!etd.send file?accession=dayton150- 0901918995427&disposition=inline.