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

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	994-997
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	29
Issue number	11
Publication status	Published - Nov 2009

Keywords

Particle filter(PF)
Particle re-sampling
Pupil localization

Cite this

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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",

month = nov,

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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

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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

Abstract

Keywords

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