Visual feature extraction and establishment of visual tags in the intelligent visual internet of things

Yiqun Zhao; Zhihui Wang

doi:10.1117/12.2205351

14 December 2015 Visual feature extraction and establishment of visual tags in the intelligent visual internet of things

Yiqun Zhao, Zhihui Wang

Author Affiliations +

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98151K (2015) https://doi.org/10.1117/12.2205351
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Yiqun Zhao and Zhihui Wang "Visual feature extraction and establishment of visual tags in the intelligent visual internet of things", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151K (14 December 2015); https://doi.org/10.1117/12.2205351

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KEYWORDS

Visualization

Principal component analysis

Feature extraction

Databases

Internet

Detection and tracking algorithms

Visual analytics

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