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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 1–25 of 65 papers

TitleStatusHype
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal TransformerCode1
SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball TacticCode1
Improved Actor Relation Graph based Group Activity RecognitionCode1
Learning Group Activities from Skeletons without Individual Action LabelsCode1
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
Spatio-Temporal Dynamic Inference Network for Group Activity RecognitionCode1
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic GraphCode1
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition—0
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition—0
Actor-Transformers for Group Activity Recognition—0
Context Aware Group Activity Recognition—0
Bi-Causal: Group Activity Recognition via Bidirectional Causality—0
Attentive pooling for Group Activity Recognition—0
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality—0
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition—0
Detector-Free Weakly Supervised Group Activity Recognition—0
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition—0
Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition—0
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis—0
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition—0
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos—0
Deep Structured Models For Group Activity Recognition—0
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