Dual-branch spatio-temporal graph neural networks for pedestrian trajectory prediction.
Xingchen ZhangPanagiotis AngeloudisYiannis DemirisPublished in: Pattern Recognit. (2023)
Keyphrases
- spatio temporal
- neural network
- trajectories of moving objects
- prediction accuracy
- prediction model
- pattern recognition
- graph representation
- object trajectories
- graph model
- graph theory
- artificial neural networks to predict
- protein function prediction
- prediction algorithm
- random walk
- prediction error
- graph structure
- image sequences
- space time
- fuzzy logic
- object detection
- movement patterns
- spatial and temporal
- motion trajectories
- directed graph
- predictive model
- neural network ensemble
- moving objects
- motion patterns
- bipartite graph
- neural networks and support vector machines
- graph databases
- directed acyclic graph
- training process
- connected components
- self organizing maps
- structured data
- artificial neural networks
- graph mining
- pedestrian detection
- human motion
- linear program
- fault diagnosis
- moving object databases
- motion estimation
- moving objects databases
- social networks
- genetic algorithm