Hybrid silhouette extraction method for detecting and tracking the human motion

Hwan Kim Moon, Jin Bae Park, Ho Ra In, Hoon Joo Young

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Human motion analysis is an important research subject in humanrobot interaction (HRI). However, before analyzing the human motion, silhouette of human body should be extracted from sequential images obtained by CCD camera. The intelligent robot system requires more robust silhouette extraction method because it has internal vibration and low resolution. In this paper, we discuss the hybrid silhouette extraction method for detecting and tracking the human motion. The proposed method is to combine and optimize the temporal and spatial gradient information. Also, we propose some compensation methods so as not to miss silhouette information due to poor images. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.

Original languageEnglish
Title of host publicationAdvances in Natural Computation - Second International Conference, ICNC 2006, Proceedings
PublisherSpringer Verlag
Pages687-695
Number of pages9
ISBN (Print)3540459073, 9783540459071
Publication statusPublished - 2006 Jan 1
Event2nd International Conference on Natural Computation, ICNC 2006 - Xi'an, China
Duration: 2006 Sep 242006 Sep 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4222 LNCS - II
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Natural Computation, ICNC 2006
CountryChina
CityXi'an
Period06/9/2406/9/28

Fingerprint

Silhouette
Intelligent robots
Motion
CCD cameras
Human-robot Interaction
Motion Analysis
CCD Camera
Experiments
Vibration
Robot
Optimise
Human
Gradient
Internal
Experiment
Compensation and Redress
Motion analysis

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Moon, H. K., Park, J. B., In, H. R., & Young, H. J. (2006). Hybrid silhouette extraction method for detecting and tracking the human motion. In Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings (pp. 687-695). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4222 LNCS - II). Springer Verlag.
Moon, Hwan Kim ; Park, Jin Bae ; In, Ho Ra ; Young, Hoon Joo. / Hybrid silhouette extraction method for detecting and tracking the human motion. Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Springer Verlag, 2006. pp. 687-695 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Human motion analysis is an important research subject in humanrobot interaction (HRI). However, before analyzing the human motion, silhouette of human body should be extracted from sequential images obtained by CCD camera. The intelligent robot system requires more robust silhouette extraction method because it has internal vibration and low resolution. In this paper, we discuss the hybrid silhouette extraction method for detecting and tracking the human motion. The proposed method is to combine and optimize the temporal and spatial gradient information. Also, we propose some compensation methods so as not to miss silhouette information due to poor images. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.",
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Moon, HK, Park, JB, In, HR & Young, HJ 2006, Hybrid silhouette extraction method for detecting and tracking the human motion. in Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4222 LNCS - II, Springer Verlag, pp. 687-695, 2nd International Conference on Natural Computation, ICNC 2006, Xi'an, China, 06/9/24.

Hybrid silhouette extraction method for detecting and tracking the human motion. / Moon, Hwan Kim; Park, Jin Bae; In, Ho Ra; Young, Hoon Joo.

Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Springer Verlag, 2006. p. 687-695 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4222 LNCS - II).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Human motion analysis is an important research subject in humanrobot interaction (HRI). However, before analyzing the human motion, silhouette of human body should be extracted from sequential images obtained by CCD camera. The intelligent robot system requires more robust silhouette extraction method because it has internal vibration and low resolution. In this paper, we discuss the hybrid silhouette extraction method for detecting and tracking the human motion. The proposed method is to combine and optimize the temporal and spatial gradient information. Also, we propose some compensation methods so as not to miss silhouette information due to poor images. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.

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M3 - Conference contribution

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Moon HK, Park JB, In HR, Young HJ. Hybrid silhouette extraction method for detecting and tracking the human motion. In Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings. Springer Verlag. 2006. p. 687-695. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).