RETRACTED: AOPPI: An adaptive obstruction perception pedestrian identifier for complex environments

Author:

Zhang Yongzhi1,He Keren1,Ge Jue1

Affiliation:

1. Center of Information Development and Management, Changzhou University, Changzhou, Jiangsu, PR China

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference26 articles.

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3. Very deep convolutional networks for large-scale image recognition[J];Simonyan;Computer Science,2014

4. Occluded pedestrian detection through guided attention in CNNs[C];Zhang;2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2018

5. Occlusion-aware R-CNN: detecting pedestrians in a crowd [C];Zhang;The 15th European Conference on Computer Vision,2018

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