SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 65 papers

TitleStatusHype
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
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality—0
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos—0
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition—0
Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)—0
Deep Structured Models For Group Activity Recognition—0
Group Activity Recognition in Computer Vision: A Comprehensive Review, Challenges, and Future Perspectives—0
Context Aware Group Activity Recognition—0
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
Show:102550
← PrevPage 3 of 7Next →

No leaderboard results yet.