A modified em algorithm for hand gesture segmentation in RGB-D data

Zhaojie Ju; Yuehui Wang; Wei Zeng; Haibin Cai; Honghai Liu

doi:10.1109/FUZZ-IEEE.2014.6891777

A modified em algorithm for hand gesture segmentation in RGB-D data

Zhaojie Ju
, Yuehui Wang
, Wei Zeng
, Haibin Cai
, Honghai Liu

University of Portsmouth
Zhejiang University of Technology

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

16 Scopus citations

Abstract

This paper proposes a novel method with a modified Expectation-Maximisation (EM) Algorithm to segment hand gestures in the RGB-D data captured by Kinect. With the depth map and RGB image aligned by the genetic algorithm to estimate the key points from both depth and RGB images, a novel approach is proposed to refine the edge of the tracked hand gesture, which is used to segment the RGB image of the hand gestures, by applying a modified EM algorithm based on Bayesian networks. The experimental results demonstrated the modified EM algorithm effectively adjusts the RGB edges of the segmented hand gestures. The proposed methods have potential to improve the performance of hand gesture recognition in Human-Computer Interaction (HCI).

Original language	English
Title of host publication	Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1736-1742
Number of pages	7
ISBN (Electronic)	9781479920723
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2014.6891777
State	Published - 4 Sep 2014
Externally published	Yes
Event	2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China Duration: 6 Jul 2014 → 11 Jul 2014

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Country/Territory	China
City	Beijing
Period	6/07/14 → 11/07/14

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10.1109/FUZZ-IEEE.2014.6891777

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Ju, Z., Wang, Y., Zeng, W., Cai, H., & Liu, H. (2014). A modified em algorithm for hand gesture segmentation in RGB-D data. In Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE (pp. 1736-1742). Article 6891777 (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2014.6891777

@inproceedings{27adddae0a7d4b9ca177f59c70960829,

title = "A modified em algorithm for hand gesture segmentation in RGB-D data",

abstract = "This paper proposes a novel method with a modified Expectation-Maximisation (EM) Algorithm to segment hand gestures in the RGB-D data captured by Kinect. With the depth map and RGB image aligned by the genetic algorithm to estimate the key points from both depth and RGB images, a novel approach is proposed to refine the edge of the tracked hand gesture, which is used to segment the RGB image of the hand gestures, by applying a modified EM algorithm based on Bayesian networks. The experimental results demonstrated the modified EM algorithm effectively adjusts the RGB edges of the segmented hand gestures. The proposed methods have potential to improve the performance of hand gesture recognition in Human-Computer Interaction (HCI).",

author = "Zhaojie Ju and Yuehui Wang and Wei Zeng and Haibin Cai and Honghai Liu",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 ; Conference date: 06-07-2014 Through 11-07-2014",

year = "2014",

month = sep,

day = "4",

doi = "10.1109/FUZZ-IEEE.2014.6891777",

language = "英语",

series = "IEEE International Conference on Fuzzy Systems",

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

pages = "1736--1742",

booktitle = "Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE",

address = "美国",

}

Ju, Z, Wang, Y, Zeng, W, Cai, H & Liu, H 2014, A modified em algorithm for hand gesture segmentation in RGB-D data. in Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE., 6891777, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., pp. 1736-1742, 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014, Beijing, China, 6/07/14. https://doi.org/10.1109/FUZZ-IEEE.2014.6891777

A modified em algorithm for hand gesture segmentation in RGB-D data. / Ju, Zhaojie; Wang, Yuehui; Zeng, Wei et al.
Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1736-1742 6891777 (IEEE International Conference on Fuzzy Systems).

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

TY - GEN

T1 - A modified em algorithm for hand gesture segmentation in RGB-D data

AU - Ju, Zhaojie

AU - Wang, Yuehui

AU - Zeng, Wei

AU - Cai, Haibin

AU - Liu, Honghai

PY - 2014/9/4

Y1 - 2014/9/4

N2 - This paper proposes a novel method with a modified Expectation-Maximisation (EM) Algorithm to segment hand gestures in the RGB-D data captured by Kinect. With the depth map and RGB image aligned by the genetic algorithm to estimate the key points from both depth and RGB images, a novel approach is proposed to refine the edge of the tracked hand gesture, which is used to segment the RGB image of the hand gestures, by applying a modified EM algorithm based on Bayesian networks. The experimental results demonstrated the modified EM algorithm effectively adjusts the RGB edges of the segmented hand gestures. The proposed methods have potential to improve the performance of hand gesture recognition in Human-Computer Interaction (HCI).

AB - This paper proposes a novel method with a modified Expectation-Maximisation (EM) Algorithm to segment hand gestures in the RGB-D data captured by Kinect. With the depth map and RGB image aligned by the genetic algorithm to estimate the key points from both depth and RGB images, a novel approach is proposed to refine the edge of the tracked hand gesture, which is used to segment the RGB image of the hand gestures, by applying a modified EM algorithm based on Bayesian networks. The experimental results demonstrated the modified EM algorithm effectively adjusts the RGB edges of the segmented hand gestures. The proposed methods have potential to improve the performance of hand gesture recognition in Human-Computer Interaction (HCI).

UR - https://www.scopus.com/pages/publications/84912535507

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DO - 10.1109/FUZZ-IEEE.2014.6891777

M3 - 会议稿件

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T3 - IEEE International Conference on Fuzzy Systems

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BT - Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014

Y2 - 6 July 2014 through 11 July 2014

ER -

A modified em algorithm for hand gesture segmentation in RGB-D data

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