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Proceedings Paper

Visual feature extraction and establishment of visual tags in the intelligent visual internet of things
Author(s): Yiqun Zhao; Zhihui Wang
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Paper Abstract

The Internet of things (IOT) is a kind of intelligent networks which can be used to locate, track, identify and supervise people and objects. One of important core technologies of intelligent visual internet of things ( IVIOT) is the intelligent visual tag system. In this paper, a research is done into visual feature extraction and establishment of visual tags of the human face based on ORL face database. Firstly, we use the principal component analysis (PCA) algorithm for face feature extraction, then adopt the support vector machine (SVM) for classifying and face recognition, finally establish a visual tag for face which is already classified. We conducted a experiment focused on a group of people face images, the result show that the proposed algorithm have good performance, and can show the visual tag of objects conveniently.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151K (14 December 2015); doi: 10.1117/12.2205351
Show Author Affiliations
Yiqun Zhao, Inner Mongolia Univ. (China)
Zhihui Wang, Inner Mongolia Univ. (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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