Oct 21, 2022 · This paper proposes a novel motion modeling method to extract the discriminative and robust representation.
Motivated by these observations, we propose a novel mo- tion modeling for gait recognition, through utilizing the mo- tion information inherent in silhouette ...
This allows the model to learn some cross-clothes invariant features. In the gait recognition task, researchers have studied cross-view robust gait features ...
Motion Matters: A Novel Motion Modeling For Cross-View Gait Feature Learning ... GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set.
Motion Matters: A Novel Motion Modeling For Cross-View Gait Feature Learning ... Specifically, we first extract the motion features from the encoded motion ...
In this paper, we propose a novel motion-aware spatiotemporal feature learning network for gait recognition, termed GaitMAST, which can unleash the potential of ...
Title: Motion Matters: A Novel Motion Modeling For Cross-View Gait Feature Learning. Authors: Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping ...
This paper proposes a novel gait recognition framework, namely, gait aggregation multi-feature representation (GaitAMR), to extract the most discriminative ...
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Feb 5, 2021 · A novel perspective that utilizes gait as a deep set, which means that a set of gait frames are integrated by a global-local fused deep network.
Motion Matters: A Novel Motion Modeling For Cross-View Gait Feature Learning. ... GaitSet: Cross-view gait recognition through utilizing gait as a deep set.