Integrated Compressed Sensing and YOLOv4 for Application in Image-storage and Object-recognition of Dashboard Camera

Jim Wei Wu, Cheng Chia Wu, Wen Shan Cen, Shao An Chao, Jui Tse Weng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper focuses on the research of the dashboard camera for improving the storage space and object recognition. The experiments showed that the CS method of ISTA-Net (Iterative Shrinkage Thresholding Algorithm with Network) can reduce the storage space by at least 60% and without obviously sacrificing the image quality. Furthermore, the recognition method by YOLOv4 can overcome the variety of environments, which can reach the recognition ratio of over 80% in a small 480x480 pixels. The recognition function can help to quickly catch the key features (ex: car, traffic signal, pedestrian, etc.) in the storage data of the dashboard camera.

原文???core.languages.en_GB???
主出版物標題2021 Australian and New Zealand Control Conference, ANZCC 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面7-11
頁數5
ISBN(電子)9781665416504
DOIs
出版狀態已出版 - 2021
事件2021 Australian and New Zealand Control Conference, ANZCC 2021 - Gold Coast, Australia
持續時間: 25 11月 202126 11月 2021

出版系列

名字2021 Australian and New Zealand Control Conference, ANZCC 2021

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???event.eventtypes.event.conference???2021 Australian and New Zealand Control Conference, ANZCC 2021
國家/地區Australia
城市Gold Coast
期間25/11/2126/11/21

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