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Automated Fall Detection Using Computer Vision

  • Pramod Kumar Soni
  • Ayesha ChoudharyEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11278)

Abstract

The population of elderly people is increasing day-by-day in the world. One of the major health issues of an old person is injury during a fall and this issue becomes compounded for elderly people living alone. In this paper, we propose a novel framework for automated fall detection of a person from videos. Background subtraction is used to detect the moving person in the video. Different features are extracted by applying rectangle and ellipse on human shape to detect the fall of a person. Experiments have been carried out on the UR Fall Dataset which is publicly available. The proposed method is compared with existing methods and significantly better results are achieved.

Keywords

Human fall detection Computer vision Background subtraction Elderly care Assisted living 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Computer and Systems SciencesJawaharlal Nehru UniversityNew DelhiIndia

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