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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 21–30 of 65 papers

TitleStatusHype
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention—0
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos—0
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition—0
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition—0
Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)—0
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition—0
Actor-Transformers 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
Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition—0
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