Non-parametric human segmentation using support vector machine

Kyuwon Kim; Changjae Oh; Kwanghoon Sohn

doi:10.1109/ICCE.2016.7430551

Non-parametric human segmentation using support vector machine

Kyuwon Kim, Changjae Oh, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Human segmentation is an important task in digital cameras. In this study, we present a framework of non-parametric human segmentation based on SVM. By exploiting spatial and color features of training images, the framework achieves noticeably better human segmentation results than GrabCut in terms of the overlap ratio with ground-truth.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Editors	Francisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	131-132
Number of pages	2
ISBN (Electronic)	9781467383646
DOIs	https://doi.org/10.1109/ICCE.2016.7430551
Publication status	Published - 2016 Mar 10
Event	IEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States Duration: 2016 Jan 7 → 2016 Jan 11

Publication series

Name	2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Other

Other	IEEE International Conference on Consumer Electronics, ICCE 2016
Country/Territory	United States
City	Las Vegas
Period	16/1/7 → 16/1/11

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE.2016.7430551

Cite this

Kim, K., Oh, C., & Sohn, K. (2016). Non-parametric human segmentation using support vector machine. In F. J. Bellido, D. Diaz-Sanchez, N. C. H. Vun, C. Dolar, & W-K. Ling (Eds.), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 (pp. 131-132). [7430551] (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2016.7430551

Kim, Kyuwon ; Oh, Changjae ; Sohn, Kwanghoon. / Non-parametric human segmentation using support vector machine. 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. editor / Francisco J. Bellido ; Daniel Diaz-Sanchez ; Nicholas C. H. Vun ; Carsten Dolar ; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 131-132 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

@inproceedings{15fd82affcdb4678887c4905ea5ec8eb,

title = "Non-parametric human segmentation using support vector machine",

abstract = "Human segmentation is an important task in digital cameras. In this study, we present a framework of non-parametric human segmentation based on SVM. By exploiting spatial and color features of training images, the framework achieves noticeably better human segmentation results than GrabCut in terms of the overlap ratio with ground-truth.",

author = "Kyuwon Kim and Changjae Oh and Kwanghoon Sohn",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE International Conference on Consumer Electronics, ICCE 2016 ; Conference date: 07-01-2016 Through 11-01-2016",

year = "2016",

month = mar,

day = "10",

doi = "10.1109/ICCE.2016.7430551",

language = "English",

series = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "131--132",

editor = "Bellido, {Francisco J.} and Daniel Diaz-Sanchez and Vun, {Nicholas C. H.} and Carsten Dolar and Wing-Kuen Ling",

booktitle = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

address = "United States",

}

Kim, K, Oh, C & Sohn, K 2016, Non-parametric human segmentation using support vector machine. in FJ Bellido, D Diaz-Sanchez, NCH Vun, C Dolar & W-K Ling (eds), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016., 7430551, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 131-132, IEEE International Conference on Consumer Electronics, ICCE 2016, Las Vegas, United States, 16/1/7. https://doi.org/10.1109/ICCE.2016.7430551

Non-parametric human segmentation using support vector machine. / Kim, Kyuwon; Oh, Changjae; Sohn, Kwanghoon.

2016 IEEE International Conference on Consumer Electronics, ICCE 2016. ed. / Francisco J. Bellido; Daniel Diaz-Sanchez; Nicholas C. H. Vun; Carsten Dolar; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. p. 131-132 7430551 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Oh, Changjae

AU - Sohn, Kwanghoon

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N2 - Human segmentation is an important task in digital cameras. In this study, we present a framework of non-parametric human segmentation based on SVM. By exploiting spatial and color features of training images, the framework achieves noticeably better human segmentation results than GrabCut in terms of the overlap ratio with ground-truth.

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BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

A2 - Bellido, Francisco J.

A2 - Diaz-Sanchez, Daniel

A2 - Vun, Nicholas C. H.

A2 - Dolar, Carsten

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Kim K, Oh C, Sohn K. Non-parametric human segmentation using support vector machine. In Bellido FJ, Diaz-Sanchez D, Vun NCH, Dolar C, Ling W-K, editors, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 131-132. 7430551. (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). doi: 10.1109/ICCE.2016.7430551

Non-parametric human segmentation using support vector machine

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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