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Fall Detection System Using Motion Vector
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 Title & Authors
Fall Detection System Using Motion Vector
Kim, Sang-Soo; Kim, Sun-Woo; Choi, Yeon-Sung;
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 Abstract
In this paper, Author of this article presents a system to ensure the safety of residents in case the residents occurs an fall situation. Author of this article use weighted difference image and motion vector. Proposed system suggested the fall detection algorithm using weighted difference image and motion vector. Fall detection algorithm showed a success rate of 85% ~ 97.1% through 150 experiments. Proposed algorithm showed a litter higher or similar success rate than the existing camera based system.
 Keywords
Fall Detection;Intelligent Surveillance System;Motion Vector;Weighted Difference Image;
 Language
Korean
 Cited by
1.
Development of Personalized Urination Recognition Technology Using Smart Bands, International Neurourology Journal, 2017, 21, Suppl 1, S76  crossref(new windwow)
 References
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3.
http://www.ginje.go.kr/

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5.
T. H Kim, "Salient Motion Information Detection Technique using Weighted Subtraction Image and Motion Vector", Master's thesis, Kunsan National University, 2006

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S.W.Kim, Y.S.Choi, H.K.Yang, "Analysis of Human Activity Using motion Vector", KIMICS, Vol.15, no.2, pp.157-16, 2011.

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J. H. Park, "Block Error Concealment using Motion Vector Direction Embedding", Master's thesis, Kyungpook National University, 2004