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Volume: 29 | Article ID: art00007
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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.

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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

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
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