Cross-view gait recognition based on residual long short-term memory

2021 ◽  
Author(s):  
Junqin Wen ◽  
Xiuhui Wang
Keyword(s):  
Short Term Memory ◽  
Gait Recognition ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory

scholarly journals Human Gait Recognition Based on Frame-by-Frame Gait Energy Images and Convolutional Long Short-Term Memory

2019 ◽  
Vol 30 (01) ◽  
pp. 1950027 ◽  
Author(s):  
Xiuhui Wang ◽  
Wei Qi Yan
Keyword(s):  
Short Term Memory ◽  
Gait Recognition ◽  
Large Population ◽  
Recognition Rate ◽  
Human Gait ◽  
Short Term ◽  
Term Memory ◽  
Cross Covariance ◽  
Novel Method ◽  
Long Short Term Memory

Human gait recognition is one of the most promising biometric technologies, especially for unobtrusive video surveillance and human identification from a distance. Aiming at improving recognition rate, in this paper we study gait recognition using deep learning and propose a novel method based on convolutional Long Short-Term Memory (Conv-LSTM). First, we present a variation of Gait Energy Images, i.e. frame-by-frame GEI (ff-GEI), to expand the volume of available Gait Energy Images (GEI) data and relax the constraints of gait cycle segmentation required by existing gait recognition methods. Second, we demonstrate the effectiveness of ff-GEI by analyzing the cross-covariance of one person’s gait data. Then, making use of the temporality of our human gait, we design a novel gait recognition model using Conv-LSTM. Finally, the proposed method is evaluated extensively based on the CASIA Dataset B for cross-view gait recognition, furthermore the OU-ISIR Large Population Dataset is employed to verify its generalization ability. Our experimental results show that the proposed method outperforms other algorithms based on these two datasets. The results indicate that the proposed ff-GEI model using Conv-LSTM, coupled with the new gait representation, can effectively solve the problems related to cross-view gait recognition.

scholarly journals Multi-Model Long Short-Term Memory Network for Gait Recognition Using Window-Based Data Segment

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 23826-23839
Author(s):  
Lam Tran ◽  
Thang Hoang ◽  
Thuc Nguyen ◽  
Hyunil Kim ◽  
Deokjai Choi
Keyword(s):  
Short Term Memory ◽  
Gait Recognition ◽  
Short Term ◽  
Term Memory ◽  
Data Segment ◽  
Memory Network ◽  
Long Short Term Memory

Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short-Term Memory Networks

2020 ◽  
Author(s):  
Abdolreza Nazemi ◽  
Johannes Jakubik ◽  
Andreas Geyer-Schulz ◽  
Frank J. Fabozzi
Keyword(s):  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Financial News ◽  
Long Short Term Memory
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