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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

Showing 110 of 65 papers

TitleStatusHype
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic GraphCode1
Improved Actor Relation Graph based Group Activity RecognitionCode1
Learning Group Activities from Skeletons without Individual Action LabelsCode1
SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball TacticCode1
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal TransformerCode1
Spatio-Temporal Dynamic Inference Network for Group Activity RecognitionCode1
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action RecognitionCode1
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only ModalityCode1
Revisiting Skeleton-based Action RecognitionCode1
Hierarchical Deep Temporal Models for Group Activity RecognitionCode0
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