Group Activity Recognition

group activity classification is designed to integrate individual player features and team-level dynamics over time. This section provides a detailed description of the components and processing stages of the model.

Player-Level Feature Extraction: Individual player features are extracted and processed over time using ResNet-50 and LSTM.

Team-Level Feature Integration: Features from both teams are aggregated and processed further using a second LSTM to classify the group activity.