USING FISHEYE CAMERA FOR COST-EFFECTIVE MULTI-VIEW PEOPLE LOCALIZATION

Yueh Cheng Huang, Chin Wei Liu, Jen Hui Chuang

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

In advanced multi-view video surveillance systems, people localization is usually a crucial part of the complete system and need to be accomplished in a short time to reserve sufficient processing time for subsequent high-level analysis. As the surveillance area increases, it is required to install a large number of cameras for multi-view people localization. To lower the equipment cost and setup time, we incorporate fisheye (or wide-angle) camera to an efficient vanishing point-based line sampling scheme for people localization, by ensuring the fisheye camera is looking downward so that its principal point becomes the vanishing point of vertical lines. Experimental results show that the utilization of fisheye-camera can (i) achieve localization accuracy comparable or superior to that using ordinary cameras, (ii) reduce the camera count by 75% on the average while covering the same or larger size of a monitored area, and (iii) greatly simplify the camera installation process.

原文English
主出版物標題2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings
發行者IEEE Computer Society
頁面3248-3252
頁數5
ISBN(電子)9781665441155
DOIs
出版狀態Published - 2021
事件2021 IEEE International Conference on Image Processing, ICIP 2021 - Anchorage, 美國
持續時間: 19 9月 202122 9月 2021

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
2021-September
ISSN(列印)1522-4880

Conference

Conference2021 IEEE International Conference on Image Processing, ICIP 2021
國家/地區美國
城市Anchorage
期間19/09/2122/09/21

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