Labeling of Human Motion by Constraint-Based Genetic Algorithm

Fu Yuan Hu; Hau San Wong; Zhi Qiang Liu; Hui Yang Qu

doi:10.1007/978-3-540-74377-4_12

Labeling of Human Motion by Constraint-Based Genetic Algorithm

Fu Yuan Hu
, Hau San Wong
, Zhi Qiang Liu
, Hui Yang Qu

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

This paper presents a new method to label parts of human body automatically based on the joint probability density function (PDF). To adapt to different motion for different articulation, the probabilistic models of each triangle different number of mixture components with MML are adopted. To solve the computation load problem of genetic algorithm (GA), a constraint-based genetic algorithm (CBGA) is developed to obtain the best global labeling. Our algorithm is developed to report the performance with experiments from running, walking and dancing sequences.

Original language	English
Title of host publication	Computational Intelligence and Security
Subtitle of host publication	International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers
Editors	Yunping Wang, Yiu-ming Cheung, Hailin Liu
Publisher	Springer Berlin Heidelberg
Pages	105-114
ISBN (Electronic)	9783540743774
ISBN (Print)	9783540743767
DOIs	https://doi.org/10.1007/978-3-540-74377-4_12
Publication status	Published - 2007
Event	2006 International Conference on Computational Intelligence and Security, CIS 2006 - Guangzhou, China Duration: 3 Nov 2006 → 6 Nov 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	LNAI 4456
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2006 International Conference on Computational Intelligence and Security, CIS 2006
Place	China
City	Guangzhou
Period	3/11/06 → 6/11/06

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Hu, F. Y., Wong, H. S., Liu, Z. Q., & Qu, H. Y. (2007). Labeling of Human Motion by Constraint-Based Genetic Algorithm. In Y. Wang, Y. Cheung, & H. Liu (Eds.), Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers (pp. 105-114). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. LNAI 4456). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-74377-4_12

Hu, Fu Yuan ; Wong, Hau San ; Liu, Zhi Qiang et al. / Labeling of Human Motion by Constraint-Based Genetic Algorithm. Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers. editor / Yunping Wang ; Yiu-ming Cheung ; Hailin Liu. Springer Berlin Heidelberg, 2007. pp. 105-114 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{885c86ec88f84ae9904c7193ac89ebf2,

title = "Labeling of Human Motion by Constraint-Based Genetic Algorithm",

abstract = "This paper presents a new method to label parts of human body automatically based on the joint probability density function (PDF). To adapt to different motion for different articulation, the probabilistic models of each triangle different number of mixture components with MML are adopted. To solve the computation load problem of genetic algorithm (GA), a constraint-based genetic algorithm (CBGA) is developed to obtain the best global labeling. Our algorithm is developed to report the performance with experiments from running, walking and dancing sequences.",

author = "Hu, \{Fu Yuan\} and Wong, \{Hau San\} and Liu, \{Zhi Qiang\} and Qu, \{Hui Yang\}",

year = "2007",

doi = "10.1007/978-3-540-74377-4\_12",

language = "English",

isbn = "9783540743767",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Berlin Heidelberg",

pages = "105--114",

editor = "Yunping Wang and Yiu-ming Cheung and Hailin Liu",

booktitle = "Computational Intelligence and Security",

note = "2006 International Conference on Computational Intelligence and Security, CIS 2006 ; Conference date: 03-11-2006 Through 06-11-2006",

}

Hu, FY, Wong, HS, Liu, ZQ & Qu, HY 2007, Labeling of Human Motion by Constraint-Based Genetic Algorithm. in Y Wang, Y Cheung & H Liu (eds), Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. LNAI 4456, Springer Berlin Heidelberg, pp. 105-114, 2006 International Conference on Computational Intelligence and Security, CIS 2006, Guangzhou, China, 3/11/06. https://doi.org/10.1007/978-3-540-74377-4_12

Labeling of Human Motion by Constraint-Based Genetic Algorithm. / Hu, Fu Yuan; Wong, Hau San; Liu, Zhi Qiang et al.
Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers. ed. / Yunping Wang; Yiu-ming Cheung; Hailin Liu. Springer Berlin Heidelberg, 2007. p. 105-114 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. LNAI 4456).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Labeling of Human Motion by Constraint-Based Genetic Algorithm

AU - Hu, Fu Yuan

AU - Wong, Hau San

AU - Liu, Zhi Qiang

AU - Qu, Hui Yang

PY - 2007

Y1 - 2007

N2 - This paper presents a new method to label parts of human body automatically based on the joint probability density function (PDF). To adapt to different motion for different articulation, the probabilistic models of each triangle different number of mixture components with MML are adopted. To solve the computation load problem of genetic algorithm (GA), a constraint-based genetic algorithm (CBGA) is developed to obtain the best global labeling. Our algorithm is developed to report the performance with experiments from running, walking and dancing sequences.

AB - This paper presents a new method to label parts of human body automatically based on the joint probability density function (PDF). To adapt to different motion for different articulation, the probabilistic models of each triangle different number of mixture components with MML are adopted. To solve the computation load problem of genetic algorithm (GA), a constraint-based genetic algorithm (CBGA) is developed to obtain the best global labeling. Our algorithm is developed to report the performance with experiments from running, walking and dancing sequences.

UR - https://www.scopus.com/pages/publications/38349083868

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-38349083868&origin=recordpage

U2 - 10.1007/978-3-540-74377-4_12

DO - 10.1007/978-3-540-74377-4_12

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783540743767

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 105

EP - 114

BT - Computational Intelligence and Security

A2 - Wang, Yunping

A2 - Cheung, Yiu-ming

A2 - Liu, Hailin

PB - Springer Berlin Heidelberg

T2 - 2006 International Conference on Computational Intelligence and Security, CIS 2006

Y2 - 3 November 2006 through 6 November 2006

ER -

Hu FY, Wong HS, Liu ZQ, Qu HY. Labeling of Human Motion by Constraint-Based Genetic Algorithm. In Wang Y, Cheung Y, Liu H, editors, Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers. Springer Berlin Heidelberg. 2007. p. 105-114. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74377-4_12

Labeling of Human Motion by Constraint-Based Genetic Algorithm

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