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Mathematical Problems in Engineering
Volume 2013, Article ID 839124, 8 pages
Research Article

An Indoor Video Surveillance System with Intelligent Fall Detection Capability

Department of Electronic Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung City 811, Taiwan

Received 12 September 2013; Accepted 8 October 2013

Academic Editor: Teen-Hang Meen

Copyright © 2013 Ming-Chih Chen and Yang-Ming Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Chao Mi, Xin He, Haiwei Liu, Youfang Huang, and Weijian Mi, “Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports,” Mathematical Problems in Engineering, vol. 2014, pp. 1–17, 2014. View at Publisher · View at Google Scholar
  • Kai Wang, Xiling Shen, Min Gao, Youjin Zhao, Qingyu Xiong, and Min Fan, “Video recognition of human fall based on spatiotemporal features,” Intelligent Automation and Soft Computing, vol. 22, no. 2, pp. 303–309, 2016. View at Publisher · View at Google Scholar
  • Weidong Min, Song Zou, and Jing Li, “Human fall detection using normalized shape aspect ratio,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar