GSTA: Pedestrian trajectory prediction based on global spatio-temporal association of graph attention network.
Wei KongYun LiuHui LiChuanxu WangYe TaoXiangzhen KongPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- spatio temporal
- global information
- network model
- network traffic
- graph theory
- graphical representation
- prediction accuracy
- spatial and temporal
- path length
- radial basis function network
- computer networks
- directed graph
- small world
- graph representation
- spanning tree
- graph structure
- prediction model
- complex networks
- random walk
- moving objects
- network structure
- overlapping communities
- object detection
- wireless sensor networks
- image sequences
- trajectories of moving objects
- object trajectories
- dynamic networks
- attack graph
- undirected graph
- prediction error
- weighted graph
- structured data
- mobile robot
- bayesian networks