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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 2130 of 65 papers

TitleStatusHype
MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition0
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 Recognition0
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity0
Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)0
Attentive pooling for Group Activity Recognition0
Hunting Group Clues with Transformers for Social Group Activity Recognition0
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition0
Detector-Free Weakly Supervised Group Activity Recognition0
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