Group Activity Recognition in Crowded Scenes Using Multi-Stage Feature Optimization and ST-GCN-LSTM Networks
Abstract
Group activity recognition in public environments is challenging due to dynamic formations, complex inter-person interactions, and frequent occlusions. Existing methods often emphasize individual actions, overlooking collecti... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Human Pose and Action Recognition
Video Surveillance and Tracking Methods
Context-Aware Activity Recognition Systems
Publication details
- Journal / source
- Computers, materials & continua/Computers, materials & continua (Print)
- Publisher
- Tech Science Press
- Volume
- 0
- Issue
- 0
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN