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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

Showing 1120 of 65 papers

TitleStatusHype
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition0
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition0
Group Activity Recognition using Unreliable Tracked Pose0
Bi-Causal: Group Activity Recognition via Bidirectional Causality0
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space0
REACT: Recognize Every Action Everywhere All At Once0
Group Activity Recognition in Computer Vision: A Comprehensive Review, Challenges, and Future Perspectives0
M3Act: Learning from Synthetic Human Group Activities0
Group Activity Recognition via Dynamic Composition and Interaction0
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition0
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