Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction.
Cunjun YuXiao MaJiawei RenHaiyu ZhaoShuai YiPublished in: CoRR (2020)
Keyphrases
- spatio temporal
- trajectories of moving objects
- prediction accuracy
- average degree
- graph structures
- fuzzy logic
- directed graph
- social graphs
- moving object databases
- spatial and temporal
- dynamic networks
- moving objects
- network size
- trajectory data
- edge weights
- graph structure
- graph representation
- prediction model
- structured data
- space time
- random walk
- social networks
- object trajectories
- moving objects databases
- image sequences
- object detection
- graph theory
- graph model
- spatio temporal data
- directed acyclic graph
- prediction error
- movement patterns
- network structure
- bipartite graph
- overlapping communities
- neural network ensemble
- location prediction
- expert systems
- fault diagnosis
- undirected graph
- fully connected
- graph mining
- spanning tree