GRAN: graph recurrent attention network for pedestrian orientation classification

GRAN: graph recurrent attention network for pedestrian orientation classification

Abstract In complex traffic scenes, accurate identification of pedestrian orientations can help drivers determine pedestrian trajectories and help reduce traffic accidents. However, there are still many challenges in pedestrian orientation recognition. First, due to the irregular appearance of pedes...

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Bibliographic Details
Main Authors: Xiao Li, Shexiang Ma, Liqing Shan, Sheng Liu, Song Chai
Format: Article
Language:English
Published: Springer 2022-08-01
Series:Complex & Intelligent Systems
Subjects:
Pedestrian orientation
Body parts
Graph
Attention
Encoder–decoder
Online Access:https://doi.org/10.1007/s40747-022-00836-0

Internet

https://doi.org/10.1007/s40747-022-00836-0

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