Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures-Reference-Cited by-同舟云学术

Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures

Author:

Yang Yang¹^ORCID,Yang Xiaoyi¹^ORCID,Sakamoto Takuya²^ORCID,Fioranelli Francesco³^ORCID,Li Beichen¹^ORCID,Lang Yue⁴^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. Graduate School of Engineering, Kyoto University, Kyoto, Japan

3. Department of Microelectronics, Delft University of Technology, Delft, CD, The Netherlands

4. School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China

Funder

National Natural Science Foundation of China

Japan Society for the Promotion of Science (JSPS) KAKENHI

Japan Science and Technology Agency (JST) PRESTO

JST Center of Innovation

SECOM Science and Technology Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference58 articles.

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