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Group Activity Recognition

Group Activity Recognition is a subset of human activity recognition problem which focuses on the collective behavior of a group of people, resulted from the individual actions of the persons and their interactions. Collective activity recognition is a basic task for automatic human behavior analysis in many areas like surveillance or sports videos.

Source: A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition

Papers

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Showing 31–40 of 65 papers

TitleStatusHype
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only ModalityCode1
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal TransformerCode1
Spatio-Temporal Dynamic Inference Network for Group Activity RecognitionCode1
Pose is all you need: The pose only group activity recognition system (POGARS)—0
Group Activity Recognition Using Joint Learning of Individual Action Recognition and People GroupingCode0
Learning Group Activities from Skeletons without Individual Action LabelsCode1
Revisiting Skeleton-based Action RecognitionCode1
Indoor Group Activity Recognition using Multi-Layered HMMs—0
Context Aware Group Activity Recognition—0
Skeleton-based Relational Reasoning for Group Activity Analysis—0
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