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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 21–30 of 65 papers

TitleStatusHype
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space—0
REACT: Recognize Every Action Everywhere All At Once—0
Group Activity Recognition in Computer Vision: A Comprehensive Review, Challenges, and Future Perspectives—0
M3Act: Learning from Synthetic Human Group Activities—0
Group Activity Recognition via Dynamic Composition and Interaction—0
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition—0
MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition—0
DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball ImageCode0
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity RecognitionCode0
Knowledge Augmented Relation Inference for Group Activity Recognition—0
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