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Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective
Extensive occlusions in real-world scenarios pose challenges to gait recognition due to missing and noisy information, as well as body misalignment in position and scale. We argue that rich dynamic contextual information within a gait sequence inherently possesses occlusion-solving traits: 1) Adjacent frames with gait continuity allow holistic body regions to infer occluded body regions; 2) Gait cycles allow information integration between holistic actions and occluded actions. Therefore, we introduce an action detection perspective where a gait sequence is regarded as a composition of actions
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T10:24:31.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.