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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 11–20 of 65 papers

TitleStatusHype
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition—0
Unified Framework with Consistency across Modalities for Human Activity RecognitionCode0
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
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos—0
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition—0
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition—0
Group Activity Recognition using Unreliable Tracked Pose—0
Bi-Causal: Group Activity Recognition via Bidirectional Causality—0
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