Multiview Gait Recognition
7 papers with code • 2 benchmarks • 1 datasets
Libraries
Use these libraries to find Multiview Gait Recognition models and implementations
CASIA-B
Latest papers
GaitRef: Gait Recognition with Refined Sequential Skeletons
Two common modalities used for representing the walking sequence of a person are silhouettes and joint skeletons.
GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer
Most existing gait recognition methods are appearance-based, which rely on the silhouettes extracted from the video data of human walking activities.
Clothes-Changing Person Re-identification with RGB Modality Only
guxinqian/simple-ccreid
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CVPR 2022
In this paper, we propose a Clothes-based Adversarial Loss (CAL) to mine clothes-irrelevant features from the original RGB images by penalizing the predictive power of re-id model w. r. t.
Multi-scale Context-aware Network with Transformer for Gait Recognition
Although gait recognition has drawn increasing research attention recently, since the silhouette differences are quite subtle in spatial domain, temporal feature representation is crucial for gait recognition.
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
tteepe/GaitGraph
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However, silhouette images can lose fine-grained spatial information, and most papers do not regard how to obtain these silhouettes in complex scenes.
GaitPart: Temporal Part-Based Model for Gait Recognition
shiqiyu/opengait
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CVPR 2020
Gait recognition, applied to identify individual walking patterns in a long-distance, is one of the most promising video-based biometric technologies.
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
shiqiyu/opengait
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In this paper we present a novel perspective, where a gait is regarded as a set consisting of independent frames.
