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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 26–50 of 65 papers

TitleStatusHype
Group Activity Recognition via Dynamic Composition and Interaction—0
Hunting Group Clues with Transformers for Social Group Activity Recognition—0
Indoor Group Activity Recognition using Multi-Layered HMMs—0
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos—0
Knowledge Augmented Relation Inference for Group Activity Recognition—0
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables—0
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality—0
Actor-Transformers for Group Activity Recognition—0
A Heat-Map-based Algorithm for Recognizing Group Activities in Videos—0
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition—0
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
A new network-based algorithm for human activity recognition in video—0
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition—0
Attentive pooling for Group Activity Recognition—0
REACT: Recognize Every Action Everywhere All At Once—0
Recurrent Modeling of Interaction Context for Collective Activity Recognition—0
Relevance Topic Model for Unstructured Social Group Activity Recognition—0
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos—0
Skeleton-based Relational Reasoning for Group Activity Analysis—0
Social Adaptive Module for Weakly-supervised Group Activity Recognition—0
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition—0
stagNet: An Attentive Semantic RNN for Group Activity Recognition—0
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition—0
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space—0
M3Act: Learning from Synthetic Human Group Activities—0
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