Prediction of Dangerous Pedestrians using Depth and Stance Estimation
Author:
Affiliation:
1. Iwate Prefectural University,Faculty of Software and Information Science,Takizawa,Japan,020-0693
2. Akita Prefectural University,Faculty of Systems Science and Technology,Yuri-honjo,Japan,015-0055
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10003266/10003667/10003829.pdf?arnumber=10003829
Reference6 articles.
1. Smartphone Zombie Detection From LiDAR Point Cloud for Mobile Robot Safety
2. When Vehicles See Pedestrians with Phones:A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians;rangesh;arXiv 1801 08234 [cs],2018
3. The Real-Time Depth Estimation for an Occluded Person Based on a Single Image and OpenPose Method
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1. Enhancing Pedestrian Safety with Advanced Video Detection: Harnessing YOLOv7 to Identify Smartphone Usage Among Walkers;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26
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