TY - GEN
T1 - Video object extraction using feature matching based on nonlocal matting
AU - Koeshardianto, Meidya
AU - Yuniarno, Eko Mulyanto
AU - Hariadi, Mochamad
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - Video object extraction is used for extracting foreground and background object from still image or video sequences. We proposed a new method extract an object from image or video sequences with nonlocal matting. One of disadvantages in nonlocal matting is user need to determine manually scribbles to specify foreground and background. To reduce a cost in this process, we add one more step using feature matching based on SIFT algorithm. SIFT is used to identify scribbles automatically based on similarity in image template that provided before. We try to extract objects from video which consist 80 image sequences. Our experiment by using this proposed method show a good result with θ = 0, 05.
AB - Video object extraction is used for extracting foreground and background object from still image or video sequences. We proposed a new method extract an object from image or video sequences with nonlocal matting. One of disadvantages in nonlocal matting is user need to determine manually scribbles to specify foreground and background. To reduce a cost in this process, we add one more step using feature matching based on SIFT algorithm. SIFT is used to identify scribbles automatically based on similarity in image template that provided before. We try to extract objects from video which consist 80 image sequences. Our experiment by using this proposed method show a good result with θ = 0, 05.
KW - Automatic Scribbling
KW - Feature Matching
KW - Image Matting
KW - Non-local Matting
KW - SIFT
UR - http://www.scopus.com/inward/record.url?scp=85016804148&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2016.7828658
DO - 10.1109/ISITIA.2016.7828658
M3 - Conference contribution
AN - SCOPUS:85016804148
T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy
SP - 201
EP - 206
BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Y2 - 28 July 2016 through 30 July 2016
ER -