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A determined binary level set method based on mean shift for contour tracking

  • Xin Sun*
  • , Hongxun Yao
  • , Zhongqian Sun
  • , Bineng Zhong
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traditional mean shift method has the limitation that could not effectively adjust kernel bandwidth to represent object accurately. To address this problem, in this paper, we propose a novel contour tracking algorithm using a determined binary level set model (DBLSM) based on mean shift procedure. In contrast with other previous work, the computational efficiency is greatly improved due to the simple form of the level set function and the efficient mean shift search. The DBLSM add prior knowledge of the target model to the implementation of curve evolution and ensure a more accurate convergence to the target. Then we use the energy function to measure weight for samples in mean shift framework. Experiment results on several challenging video sequences have verified the proposed algorithm is efficient and effective in many complicated scenes.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
Pages425-436
Number of pages12
EditionPART 1
DOIs
StatePublished - 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: 21 Sep 201024 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6297 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Pacific Rim Conference on Multimedia, PCM 2010
Country/TerritoryChina
CityShanghai
Period21/09/1024/09/10

Keywords

  • Tracking
  • active contour
  • level set model
  • mean shift

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