Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13119
ชื่อเรื่อง: Human fall detection by using the body vector
ผู้แต่ง: Pattamaset S.
Charoenpong T.
Charoenpong P.
Chianrabutra C.
Keywords: Cameras
Principal component analysis
Stereo image processing
Stereo vision
Falling protection
Human fall detection
Joint coordinates
Mahalanobis distances
Principal Components
Three dimensional space
Vector techniques
Vision technique
Vectors
วันที่เผยแพร่: 2017
บทคัดย่อ: Due to a problem of current research occurring when detecting a human falling in a camera direction, we propose a new method for detecting human fall detection by using body vector technique. This method consists of three steps. Two image sequence is used as the input of the system. Firstly markers are affixed on sixteen joints. These markers are extracted by using mahalanobis distance. Secondly, the stereo vision technique is used to construct human joints in three dimensional space. Finally, joint coordinates are used to compute principal component vector. Human falling is detected from an angle between the human body vector and the vertical axis and the human center velocity. To test the performance of the proposed method, subject walks to the cameras. Falling down in the camera direction by twenty subjects is used. Accuracy is 100%. This method perform effectively for detecting human falling in the camera direction. © 2017 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13119
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017505310&doi=10.1109%2fKST.2017.7886075&partnerID=40&md5=542ed48053145805f0f1cb1e569fdd3d
Appears in Collections:Scopus 1983-2021

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