https://scholars.lib.ntu.edu.tw/handle/123456789/575986
標題: | Video-based indoor human detection for decision-making of the installation locations for automated external defibrillators | 作者: | Chen C.-C Chen A.Y. ALBERT CHEN |
關鍵字: | Behavioral research; Decision making; Location; Automated external defibrillator; Decision makers; Histogram of oriented gradients (HOG); Human detection; Installation locations; Potential demand; Time interval; Vision-based methods; Defibrillators | 公開日期: | 2017 | 起(迄)頁: | 444-449 | 來源出版物: | Congress on Computing in Civil Engineering, Proceedings | 摘要: | A vision based method was introduced to detect human patterns. The purpose of the research is to assist the decision maker while considering the installation of automated external defibrillators (AEDs). We first recorded the video of people in the objective building. During the process of detection, we adopt the histogram of oriented gradient (HOG) to detect the locations of people at each time interval. HOG is the descriptor which could describe the shape of objects in the image, based on the orientation or gradient of each pixel. After the extraction of the human volume data, we further analyze the patterns of the human and the distribution of human in the building. The analysis would help to plan and evaluate locations of AEDs based on the real potential demand distribution and could optimized the performance of AED during an emergency. ? 2017 American Society of Civil Engineers. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021724445&doi=10.1061%2f9780784480823.053&partnerID=40&md5=c34e694e5315bbf6517f8c2bdeb068bc https://scholars.lib.ntu.edu.tw/handle/123456789/575986 |
DOI: | 10.1061/9780784480823.053 |
顯示於: | 土木工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。