A generic approach to object matching and tracking

Xiaokun Li, Chiman Kwan, Gang Mei, Baoxin Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


In this paper, a generic approach to object matching and fast tracking in video and image sequence is presented. The approach first uses Gabor filters to extract flexible and reliable features as the basis of object matching and tracking. Then, a modified Elastic Graph Matching method is proposed for accurate object matching. A novel method based on posterior probability density estimation through sequential Monte Carlo method, called as Sequential Importance Sampling (SIS) method, is also developed to track multiple objects simultaneously. Several applications of our proposed approach are given for performance evaluation, which includes moving target tracking, stereo (3D) imaging, and camera stabilization. The experimental results demonstrated the efficacy of the approach which can also be applied to many other military and civilian applications, such as moving target verification and tracking, visual surveillance of public transportation, country border control, battlefield inspection and analysis, etc.

Original languageEnglish (US)
Title of host publicationImage Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Print)3540448918, 9783540448914
StatePublished - 2006
Event3rd International Conference on Image Analysis and Recognition, ICIAR 2006 - Povoa de Varzim, Portugal
Duration: Sep 18 2006Sep 20 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4141 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Conference on Image Analysis and Recognition, ICIAR 2006
CityPovoa de Varzim


  • Feature extraction
  • Image analysis
  • Object matching
  • Real-time tracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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