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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 51–65 of 65 papers

TitleStatusHype
A Heat-Map-based Algorithm for Recognizing Group Activities in Videos—0
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition—0
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
A new network-based algorithm for human activity recognition in video—0
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
Attentive pooling for Group Activity Recognition—0
Bi-Causal: Group Activity Recognition via Bidirectional Causality—0
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition—0
Context Aware Group Activity Recognition—0
Convolutional Relational Machine for Group Activity Recognition—0
Deep Structured Models For Group Activity Recognition—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
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