https://scholars.lib.ntu.edu.tw/handle/123456789/575986
Title: | Video-based indoor human detection for decision-making of the installation locations for automated external defibrillators | Authors: | Chen C.-C Chen A.Y. ALBERT CHEN |
Keywords: | 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 | Issue Date: | 2017 | Start page/Pages: | 444-449 | Source: | Congress on Computing in Civil Engineering, Proceedings | Abstract: | 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 |
Appears in Collections: | 土木工程學系 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.