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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 5160 of 65 papers

TitleStatusHype
LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition0
MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition0
Multi-Level Sequence GAN for Group Activity Recognition0
Pose is all you need: The pose only group activity recognition system (POGARS)0
Progressive Relation Learning for Group Activity Recognition0
PromptGAR: Flexible Promptive Group Activity Recognition0
Learning Actor Relation Graphs for Group Activity RecognitionCode0
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity RecognitionCode0
Group Activity Recognition Using Joint Learning of Individual Action Recognition and People GroupingCode0
Hierarchical Relational Networks for Group Activity Recognition and RetrievalCode0
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