Spatio-temporal attention mechanism for more complex analysis to track multiple objects

Heungkyu Lee, Hanseok Ko

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

1 Citation (Scopus)

Abstract

This paper proposes the spatio-temporal attentive mechanism to track multiple objects, even occluded objects. The proposed system provides an efficient method for more complex analysis using data association in spatially attentive window and predicted temporal location. When multiple objects are moving or occluded between them in areas of visual field, a simultaneous tracking of multiple objects tends to fail. This is due to the fact that incompletely estimated feature vectors such as location, color, velocity, and acceleration of a target provide ambiguous and missing information. In addition, partial information cannot render the complete information unless temporal consistency is considered when objects are occluded between them or they are hidden in obstacles. Thus, the spatially and temporally considered mechanism using occlusion activity detection and object association with partial probability model is proposed. For an experimental evaluation, the proposed algorithms are applied to real image sequences. Experimental results in a natural environment demonstrate the usefulness of the proposed method.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages447-456
Number of pages10
Publication statusPublished - 2005 Dec 1
Event1st International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2005 - Naples, Italy
Duration: 2005 Oct 192005 Oct 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3704 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2005
CountryItaly
CityNaples
Period05/10/1905/10/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, H., & Ko, H. (2005). Spatio-temporal attention mechanism for more complex analysis to track multiple objects. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 447-456). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3704 LNCS).