InhwanBae/GPGraph
Official Code for "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction (ECCV 2022)"
This project helps in predicting the future movements of pedestrians in crowded environments by understanding their group behaviors. It takes historical pedestrian trajectory data as input and outputs potential future paths for each individual, considering how they move in relation to others in a group. This tool is for researchers and developers working on autonomous systems or crowd management who need to accurately forecast pedestrian movement.
No commits in the last 6 months.
Use this if you need to integrate an unsupervised module for estimating pedestrian group behaviors into an existing trajectory prediction model.
Not ideal if you are looking for a plug-and-play solution for general object trajectory prediction beyond pedestrians or if you don't have historical trajectory data.
Stars
72
Forks
10
Language
Python
License
MIT
Category
Last pushed
Jul 16, 2025
Commits (30d)
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