IR pupil tracking based on optimized particle filter

San Yuan Zhao; Ting Zhi Shen; Man Lam Kin; Yu Hu; Hui Tian

IR pupil tracking based on optimized particle filter

San Yuan Zhao^*, Ting Zhi Shen, Man Lam Kin, Yu Hu, Hui Tian

^*此作品的通讯作者

计算机学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Presents a particle filter-based algorithm for IR target-tracking. In this algorithm, sampling particles are optimized and selected, and the re-sampling phase is improved. It solves the problems of massive computation in traditional particle filter. And this method is adopted in tracking pupil, which has better precision and higher efficiency. The paper also applied Hough transform to locate the edge of pupil and achieved very good results.

源语言	英语
页（从-至）	994-997
页数	4
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	29
期	11
出版状态	已出版 - 11月 2009

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引用此

@article{d3b30532e4dd413595c181d06e604f21,

title = "IR pupil tracking based on optimized particle filter",

abstract = "Presents a particle filter-based algorithm for IR target-tracking. In this algorithm, sampling particles are optimized and selected, and the re-sampling phase is improved. It solves the problems of massive computation in traditional particle filter. And this method is adopted in tracking pupil, which has better precision and higher efficiency. The paper also applied Hough transform to locate the edge of pupil and achieved very good results.",

keywords = "Particle filter(PF), Particle re-sampling, Pupil localization",

author = "Zhao, {San Yuan} and Shen, {Ting Zhi} and Kin, {Man Lam} and Yu Hu and Hui Tian",

year = "2009",

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language = "English",

volume = "29",

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TY - JOUR

T1 - IR pupil tracking based on optimized particle filter

AU - Zhao, San Yuan

AU - Shen, Ting Zhi

AU - Kin, Man Lam

AU - Hu, Yu

AU - Tian, Hui

PY - 2009/11

Y1 - 2009/11

N2 - Presents a particle filter-based algorithm for IR target-tracking. In this algorithm, sampling particles are optimized and selected, and the re-sampling phase is improved. It solves the problems of massive computation in traditional particle filter. And this method is adopted in tracking pupil, which has better precision and higher efficiency. The paper also applied Hough transform to locate the edge of pupil and achieved very good results.

AB - Presents a particle filter-based algorithm for IR target-tracking. In this algorithm, sampling particles are optimized and selected, and the re-sampling phase is improved. It solves the problems of massive computation in traditional particle filter. And this method is adopted in tracking pupil, which has better precision and higher efficiency. The paper also applied Hough transform to locate the edge of pupil and achieved very good results.

KW - Particle filter(PF)

KW - Particle re-sampling

KW - Pupil localization

UR - http://www.scopus.com/inward/record.url?scp=71949116767&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:71949116767

SN - 1001-0645

VL - 29

SP - 994

EP - 997

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 11

ER -

IR pupil tracking based on optimized particle filter

摘要

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