Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12490
ชื่อเรื่อง: Human Edge Segmentation from 2D Images by Histogram of Oriented Gradients and Edge Matching Algorithm
ผู้แต่ง: Sombatpiboonporn P.
Charoenpong T.
Supasuteekul A.
Chianrabutra C.
Pattanaworapan K.
Keywords: Artificial intelligence
Graphic methods
Image segmentation
Robotics
Template matching
Edge segmentation
Histogram of oriented gradients
Human detection
Human segmentation
Image sequence
Research performance
SVM classification
Template matching technique
Edge detection
วันที่เผยแพร่: 2019
บทคัดย่อ: Current research performance is limited to segment precise human edge. In this paper, we proposed an edge matching algorithm for human edge segmentation from 2D images by means of the histogram of oriented gradients technique and SVM classification. The algorithm having four steps, namely image sequence acquisition, human detection, edge segmentation and human edge segmentation, were carried out in this work. Data was collected from 710 full body human image. Based on the finding of this work, error results of the human edge in the parts of head, neck, body, and leg were 9.86, 13.60, 6.63, and 637 pixels, respectively. The advantages of the proposed method is this method can segment human from image by using only one image and a small group of databases. © 2019 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12490
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063255361&doi=10.1109%2fICA-SYMP.2019.8646191&partnerID=40&md5=e4d609c484b491eb768782e46b2ef7bf
Appears in Collections:Scopus 1983-2021

Files in This Item:
There are no files associated with this item.


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.