Lightweight Pedestrian Detection through Guided Filtering and Deep Learning

Kahlil Muchtar, Khairun Saddami, Akhyar Bintang, Tjeng Wawan Cenggoro, Bens Pardamean, Chih Yang Lin, Tia Ernita

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a novel approach to locate and detect moving pedestrians in a video. Our proposed method first locates the region of interest (ROI) using a background subtraction algorithm based on guided filtering. This novel background subtraction algorithm allows our method to also filter unexpected noises at the same time, which could benefit the performance of our proposed method. Subsequently, the pedestrians are detected using YOLOv3 within the provided ROI. Our experiments showed that the proposed method has a competitive performance in the CDNET2014 dataset with a fast-processing time.

原文???core.languages.en_GB???
主出版物標題2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面629-630
頁數2
ISBN(電子)9781665436762
DOIs
出版狀態已出版 - 2021
事件10th IEEE Global Conference on Consumer Electronics, GCCE 2021 - Kyoto, Japan
持續時間: 12 10月 202115 10月 2021

出版系列

名字2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021

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???event.eventtypes.event.conference???10th IEEE Global Conference on Consumer Electronics, GCCE 2021
國家/地區Japan
城市Kyoto
期間12/10/2115/10/21

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