What does this research mean for the field?

The GLC-Gait framework, which fuses global spatial features with local motion refinement and utilizes an entropy-regularized loss, achieves high cross-view gait recognition accuracy with a reduced parameter count compared to existing lightweight baselines. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to develop a lightweight gait recognition framework that effectively captures fine-grained motion cues for public security applications.

May 20, 2026Biomedical Signal Processing and ControlOpen Access

GLC-Gait: A lightweight framework for cross-view gait recognition via global-local feature fusion

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Authors

JCJunhao ChengHefei University CTChao TangHefei University HHHuosheng HuUniversity of Essex

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Implication

Randomized trial shows improved gait recognition accuracy in resource-limited devices, suggesting enhanced security applications.

Key Points

The aim is to develop a lightweight gait recognition framework that effectively captures fine-grained motion cues for public security applications.
Introduced a framework combining global spatial features and local motion refinement using region-aware 3D convolutions.
Employed a channel-wise attention mechanism to enhance discriminative features and normalize pooled embeddings with BNNeck.
Utilized an entropy-regularized loss to improve view-consistency in representations without increasing model complexity.
Outperformed lightweight baselines on CASIA-B with significantly reduced parameters and maintained high accuracy.
Generalized effectively to datasets OUMVLP and CASIA-C, indicating broad applicability across environments.

Cite This Study

Cheng et al. (2026) studied this question.

synapsesocial.com/papers/6a0d4e9df03e14405aa99d92 https://doi.org/10.1016/j.bspc.2026.110663

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GLC-Gait: A lightweight framework for cross-view gait recognition via global-local feature fusion

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Key Points

Cite This Study

GLC-Gait: A lightweight framework for cross-view gait recognition via global-local feature fusion

Discussion

Member takes

Implication

Key Points

Cite This Study

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