Skeleton-based Recognition of Pedestrian Crossing Intention using Attention Graph Neural Networks.
Manh Cuong LeTruong-Dong DoMinh-Thien DuongTran-Nhat-Minh TaVan-Binh NguyenMy-Ha LePublished in: IWIS (2022)
Keyphrases
- neural network
- pattern recognition
- recognition rate
- recognition accuracy
- graph theory
- graph representation
- pedestrian detection
- graph matching algorithm
- graph matching
- graph model
- multilayer perceptron
- object recognition
- recognition process
- graph theoretic
- recognition algorithm
- feature extraction
- directed graph
- binary images
- recurrent neural networks
- bipartite graph
- object detection
- character recognition
- gesture recognition
- graph databases
- topological information
- gait recognition
- skeleton extraction
- directed acyclic graph
- shape representation
- graph structure
- neural nets
- partial occlusion
- feed forward
- fault diagnosis
- action recognition
- random walk