This paper proposes a solution to this problem by modelling gait sequences using Gait Energy Images and then using sparse autoencoders to extract their features ...
Abstract—In recent years, gait has been growing as a biometric for person recognition at a distance. However, factors such.
Cheheb et al. (2018) provided a gallery of samples for training and recognized gait through a probe sample for testing. One of the important ...
Dive into the research topics of 'Investigating the Use of Autoencoders for Gait-based Person Recognition'. Together they form a unique fingerprint. Sort by ...
Nov 3, 2019 · This paper proposes a solution to this problem by modelling gait sequences using Gait Energy Images and then using sparse autoencoders to ...
Oct 13, 2023 · An autoencoder-based feature extraction method is proposed to overcome these shortcomings. Experiments were conducted to detect gait phases of ...
Gait, a behavioral biometric, is a new area of research that looks at how people walk to find out important information about them [1]. Because of this, the ...
May 16, 2022 · This paper proposes a unified autoencoder framework for gait recognition based ... A comprehensive study on cross-view gait based human ...
Aug 1, 2022 · Al-Madeed and A. Bouridane, ”Investigating the Use of Autoencoders for Gait-based Person Recognition,” 2018 NASA/ESA Conference on Adaptive ...
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Explainable gait recognition with prototyping encoder–decoder - PMC
www.ncbi.nlm.nih.gov › PMC8916664
Mar 11, 2022 · A comprehensive study on cross-view gait based human identification with deep CNNs. IEEE Trans Pattern Anal Mach Intell. 2016;39(2):209–226 ...