Publication:
Human Height Measurement by Square Template

dc.contributor.authorSuwatkittiwong N.
dc.contributor.authorCharoenpong T.
dc.contributor.authorSukjamsri C.
dc.contributor.authorOuypornkochagom T.
dc.date.accessioned2021-04-05T03:21:49Z
dc.date.available2021-04-05T03:21:49Z
dc.date.issued2018
dc.date.issuedBE2561
dc.description.abstractHuman height is significant information for human gait recognition. In this paper, we proposed a new method to measure the human height by using square template. This method consists of four step: image acquisition, template matching, background subtraction and human height measurement. First, human gait is captured. Square template is fixed on floor. Second, template matching is used to detect square template position. Third, background subtraction is used to extract human. Finally, based on human position relating the square template, a size of pixel is used to compute a human height. To test the performance of the proposed method, accuracy rate of height measurement is measured. 405 picture of 27 volunteers were used in the experiment. The average accuracy is 96.32% at 5th position. This technique can be applied to use for human gait recognition. © 2018 IEEE.
dc.format.mimetypeapplication/pdf
dc.identifier.citationiEECON 2018 - 6th International Electrical Engineering Congress.
dc.identifier.doi10.1109/IEECON.2018.8712310
dc.identifier.other2-s2.0-85066632032
dc.identifier.urihttps://hdl.handle.net/20.500.14740/3902
dc.rights.holderมหาวิทยาลัยศรีนครินทรวิโรฒ
dc.subject.otherGait analysis
dc.subject.otherAccuracy rate
dc.subject.otherBackground subtraction
dc.subject.otherHeight Measurement
dc.subject.otherHuman gait
dc.subject.otherHuman gait recognition
dc.subject.otherHuman height
dc.subject.otherSize of pixels
dc.subject.otherSquare template
dc.subject.otherTemplate matching
dc.titleHuman Height Measurement by Square Template
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85066632032&doi=10.1109%2fIEECON.2018.8712310&partnerID=40&md5=dec4e47ede889e70370e465ee905c4b2

Files