Multiview Gait Recognition
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Benchmarks
Most implemented
GaitPart: Temporal Part-Based Model for Gait Recognition
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
GaitSTR: Gait Recognition with Sequential Two-stream Refinement
Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
GaitRef: Gait Recognition with Refined Sequential Skeletons
Papers
GaitSTR: Gait Recognition with Sequential Two-stream Refinement
Gait recognition aims to identify a person based on their walking sequences, serving as a useful biometric modality as it can be observed from long distances without requiring cooperation from the subject. In representin…
Gait RecognitionMultiview Gait RecognitionHierarchical Spatio-Temporal Representation Learning for Gait Recognition
Gait recognition is a biometric technique that identifies individuals by their unique walking styles, which is suitable for unconstrained environments and has a wide range of applications. While current methods focus on …
Gait RecognitionGait Recognition in the WildMultiview Gait RecognitionRepresentation LearningGaitRef: Gait Recognition with Refined Sequential Skeletons
Identifying humans with their walking sequences, known as gait recognition, is a useful biometric understanding task as it can be observed from a long distance and does not require cooperation from the subject. Two commo…
Gait RecognitionMultiview Gait RecognitionGaitMixer: 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. The less-investigated skeleton-based gait recognition methods directly…
Gait RecognitionMultiview Gait RecognitionRepresentation LearningGaitMM: Multi-Granularity Motion Sequence Learning for Gait Recognition
Gait recognition aims to identify individual-specific walking patterns by observing the different periodic movements of each body part. However, most existing methods treat each part equally and fail to account for the d…
Gait RecognitionMultiview Gait RecognitionClothes-Changing Person Re-identification with RGB Modality Only
The key to address clothes-changing person re-identification (re-id) is to extract clothes-irrelevant features, e.g., face, hairstyle, body shape, and gait. Most current works mainly focus on modeling body shape from mul…
Clothes Changing Person Re-IdentificationMultiview Gait RecognitionPerson Re-Identification