Robust online tracking using orientation and color incorporated adaptive models in particle filter

Chengjiao Guo, Ying Lu, Takeshi Ikenaga

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

1 Citation (Scopus)

Abstract

Moving object tracking has received much interest in the field of computer vision due to the increasing need for automated video analysis. Particles Filter is a very promising object tracking method since it is suitable for non-linear and/or non-Gaussian applications. Most particle filter applies color information in target model which might fail in the presence of similar colored objects in the scene. This paper presents the integration of color and orientation features in particle filter to make full use of the distinctive target features. Also, an improved Gaussian weighting function for target models and an updating scheme with an adaptive updating ratio are proposed. The proposed approaches are applied in the real-time video sequences with different occlusion conditions to test the robustness of the proposal. Experiment results show that stable and accurate tracking performance is achieved even when the target is occluded by a similar colored object.

Original languageEnglish
Title of host publicationNISS2010 - 4th International Conference on New Trends in Information Science and Service Science
Pages281-286
Number of pages6
Publication statusPublished - 2010 Oct 15
Event4th International Conference on New Trends in Information Science and Service Science, NISS2010 - Gyeongju, Korea, Republic of
Duration: 2010 May 112010 May 13

Publication series

NameNISS2010 - 4th International Conference on New Trends in Information Science and Service Science

Conference

Conference4th International Conference on New Trends in Information Science and Service Science, NISS2010
CountryKorea, Republic of
CityGyeongju
Period10/5/1110/5/13

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Keywords

  • Adaptive updating
  • Gradient orientation model
  • HSV color model
  • Object tracking
  • Particle filter

ASJC Scopus subject areas

  • Information Systems and Management

Cite this

Guo, C., Lu, Y., & Ikenaga, T. (2010). Robust online tracking using orientation and color incorporated adaptive models in particle filter. In NISS2010 - 4th International Conference on New Trends in Information Science and Service Science (pp. 281-286). [5488605] (NISS2010 - 4th International Conference on New Trends in Information Science and Service Science).