Please submit manuscripts in either of the following two submission systems

    ScholarOne Manuscripts

  • ScholarOne

    • 勤云稿件系统

  • 登录

Search by Issue

  • 2024 Vol.31
  • 2023 Vol.30
  • 2022 Vol.29
  • 2021 Vol.28
  • 2020 Vol.27
  • 2019 Vol.26
  • 2018 Vol.25
  • 2017 Vol.24
  • 2016 vol.23
  • 2015 vol.22
  • 2014 vol.21
  • 2013 vol.20
  • 2012 vol.19
  • 2011 vol.18
  • 2010 vol.17
  • 2009 vol.16
  • No.1
  • No.2

Search by Keywords

  • Search by Title
  • Search by Keywords
  • Search by Abstract
  • Search by Author's Chinese Name
  • Search by Author's English Name
  • Search by Fund

News & AnnouncementMORE

Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

期刊网站二维码
微信公众号二维码
Related citation:GUO Chao.Tracking of human head with particle filter[J].Journal of Harbin Institute Of Technology(New Series),2009,16(2):269-274.DOI:10.11916/j.issn.1005-9113.2009.02.025.
【Print】   【HTML】   【PDF download】   【View/Add Comment】  【Download reader】  【 Close 】
←Previous|Next→ Back Issue    Advanced Search
This paper has been: browsed 784times   downloaded 306times 本文二维码信息
码上扫一扫！
Shared by: Wechat More
Font:larger+|default|smaller-
Tracking of human head with particle filter
Author NameAffiliation
GUO Chao Dept. of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China 
Abstract:
To cope with the problem of tracking a human head in a complicated scene, we propose a method that adopts human skin color and hair color integrated with a kind of particle filter named condensation algorithm. Firstly, a novel method is presented to set up human head color model using skin color and hair color separately based on region growing. Compared with traditional human face model, this method is more precise and works well when human turns around and the face disappears in the image. Then a novel method is presented to use color model in condensation algorithm more effectively. In this method, a combination of edge detection result, color segmentation result and color edge detection result in an Omega window is used to measure the scale and position of human head in condensation. Experiments show that this approach can track human head in complicated scene even when human turns around or the distance of tracking a human head changes quickly.
Key words:  human head tracking  condensation  particle filter  Hausdorff distance
DOI：10.11916/j.issn.1005-9113.2009.02.025
Clc Number:TP391
Fund:

LINKS

Copyright © The Editorial Department of Journal of Harbin Institute of Technology
Address: 92 West Dazhi Street, Nan Gang District, Harbin, Heilongjiang Province, China Postcode: 150001
(C)2015 JOURNAL OF HIT ALL RIGHTS RESERVED. ICP. 0000423255