Pedestrian Motion Trajectory Prediction With Stereo-Based 3D Deep Pose Estimation and Trajectory Learning

Pedestrian Motion Trajectory Prediction With Stereo-Based 3D Deep Pose Estimation and Trajectory Learning

Existing methods for pedestrian motion trajectory prediction are learning and predicting the trajectories in the 2D image space. In this work, we observe that it is much more efficient to learn and predict pedestrian trajectories in the 3D space since the human motion occurs in the 3D physical world...

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Bibliographic Details
Main Authors: Jianqi Zhong, Hao Sun, Wenming Cao, Zhihai He
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Trajectory prediction
deep learning
pose estimation
stereo vision
Online Access:https://ieeexplore.ieee.org/document/8972435/

Internet

https://ieeexplore.ieee.org/document/8972435/

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