Oct 1, 2021 · Our proposed approach attempts to tackle these problems by capturing the spatio-temporal features of a gait sequence by training a 3D convolutional deep neural ...
Oct 1, 2021 · We have introduced a 3D convolutional neural network to extract robust and discriminative spatio-temporal features for gait recognition.
This paper proposes a novel spatial-temporal deep neural network (STDNN) that is applied to multi-view gait recognition. STDNN comprises a temporal feature ...
Gait recognition is a recognition technology based on biometrics (Ma and Liu. 2017), and is intended to identify a person according to the walking posture of ...
In this work we present a deep convolutional neural network using 3D convolutions for Gait Recognition in multiple views capturing spatio-temporal features.
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In this work we present a deep convolutional neural network using 3D convolutions for Gait Recognition in multiple views capturing spatio-temporal features.
We present a spatiotemporal deep learning model, dubbed ST-DeepGait, to featurize spatiotemporal co-movement patterns of human joints.
This paper proposes a novel spatial-temporal deep neural network (STDNN) that is applied to multi-view gait recognition. STDNN comprises a temporal feature ...
Apr 9, 2024 · This research aims to identify a person by analyzing their walking pattern. Moreover, the authors intend to expand gait analysis for other tasks.
Gait recognition is used for surveillancing private or public space like street, shopping malls, banks, military, airports and so on. Artificial. Intelligence ( ...