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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 51–60 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
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