Back to articles
Articles
Volume: 29 | Article ID: art00007
Image
Robust Person Recognition using CNN
  DOI :  10.2352/ISSN.2470-1173.2017.10.IMAWM-165  Published OnlineJanuary 2017
Abstract

Person detection and recognition has many applications in autonomous driving, smart home and smart office applications. Knowledge about the presence of a person in the environment can be used in safety solutions such as collision avoidance, in energy conservation solutions such as turning lights and air-conditioning off when there is no person around, and in meeting and collaboration solutions such as locating a vacant room. In this paper, we present a solution that can reliably detect and recognize persons under different lighting conditions and pose based on head detection and recognition using deep learning. The system is proved to achieve good results on a challenging dataset.

Subject Areas :
Views 138
Downloads 0
 articleview.views 138
 articleview.downloads 0
  Cite this article 

Ming Chen, Qian Lin, Jan P. Allebach, Fengqing Zhu, "Robust Person Recognition using CNNin Proc. IS&T Int’l. Symp. on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World,  2017,  pp 45 - 50,  https://doi.org/10.2352/ISSN.2470-1173.2017.10.IMAWM-165

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2017
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology