Gait-Based Human Identification by Combining Shallow Convolutional Neural Network-Stacked Long Short-Term Memory and Deep Convolutional Neural Network

Gait-Based Human Identification by Combining Shallow Convolutional Neural Network-Stacked Long Short-Term Memory and Deep Convolutional Neural Network

Human identification using camera-based surveillance systems is a challenging research topic, especially in cases where the human face is not visible to cameras and/or when humans captured on cameras have no clear visual identity owing to environments with low-illumination. With the development of d...

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Bibliographic Details
Main Authors: Ganbayar Batchuluun, Hyo Sik Yoon, Jin Kyu Kang, Kang Ryoung Park
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Human identification
shallow CNN stacked LSTM
deep CNN
thermal image
Online Access:https://ieeexplore.ieee.org/document/8502031/

Internet

https://ieeexplore.ieee.org/document/8502031/

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