Pedestrian Detection Algorithm Based on ViBe and YOLO-Reference-Cited by-同舟云学术

Pedestrian Detection Algorithm Based on ViBe and YOLO

Published:2021-12-22 Issue: Volume: Page:
ISSN:
Container-title:2021 The 5th International Conference on Video and Image Processing
language:
Short-container-title:

Author:

Cao Jianrong¹,Zhuang Yuan¹,Wang Ming¹,Wu Xinying¹,Han Fatong¹

Affiliation:

1. School of Information and Electrical Engineering, Shandong Jianzhu University, China

Funder

Grant

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511176.3511191

Reference19 articles.

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2. Pedestrain detection in videos based on optimization algorithm using sliding window[J].;Shao Qike;Journal of Zhejiang University of Technology

3. Distinctive Image Features from Scale-Invariant Keypoints

4. Yangyang YE Chi ZHANG Xiaoli HAO.ARPNET: attention region proposal network for 3D object detection[J].Science China(Information Sciences) 2019 62(12):44-52. Yangyang YE Chi ZHANG Xiaoli HAO.ARPNET: attention region proposal network for 3D object detection[J].Science China(Information Sciences) 2019 62(12):44-52.

5. Haar-features training parameters analysis in boosting based machine learning for improved face detection[J] . International Journal of Advanced Technology and Engineering Exploration (IJATEE) , 2021 , 8(80). Haar-features training parameters analysis in boosting based machine learning for improved face detection[J]. International Journal of Advanced Technology and Engineering Exploration (IJATEE), 2021, 8(80).