A four dukkha state-space model for hand tracking

NEUROCOMPUTING

卷:267

Article

Lim, Kian Ming¹  Tan, Alan W. C.²  Tan, Shing Chiang¹ 

[1] Multimedia Univ, Fac Informat Sci & Technol, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia

[2] Multimedia Univ, Fac Engn & Technol, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia

关键词: Hand tracking;    Four dukkha;    State-space model;   

DOI  :  10.1016/j.neucom.2017.06.012

来源: Elsevier

【 摘 要 】

In this paper, we propose a hand tracking method which was inspired by the notion of the four dukkha: birth, aging, sickness and death (BASD) in Buddhism. Based on this philosophy, we formalize the hand tracking problem in the BASD framework, and apply it to hand track hand gestures in isolated sign language videos. The proposed BASD method is a novel nature-inspired computational intelligence method which is able to handle complex real-world tracking problem. The proposed BASD framework operates in a manner similar to a standard state-space model, but maintains multiple hypotheses and integrates hypothesis update and propagation mechanisms that resemble the effect of BASD. The survival of the hypothesis relies upon the strength, aging and sickness of existing hypotheses, and new hypotheses are birthed by the fittest pairs of parent hypotheses. These properties resolve the sample impoverishment problem of the particle filter. The estimated hand trajectories show promising results for the American sign language. (C) 2017 Elsevier B.V. All rights reserved.

【 授权许可】

Free