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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 31–40 of 65 papers

TitleStatusHype
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
Attentive pooling for Group Activity Recognition—0
Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)—0
Hunting Group Clues with Transformers for Social Group Activity Recognition—0
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition—0
Detector-Free Weakly Supervised Group Activity Recognition—0
Pose is all you need: The pose only group activity recognition system (POGARS)—0
Group Activity Recognition Using Joint Learning of Individual Action Recognition and People GroupingCode0
Indoor Group Activity Recognition using Multi-Layered HMMs—0
Context Aware Group Activity Recognition—0
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