Presentation 2004/2/13
Multiple non-rigid objects tracking using particle filter
Katsumi ABE, Yasushi KANAZAWA,
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Abstract(in English) We propose a robust method for tracking multiple non-rigid objects using particle filter. We divide the areas of target objects into small rectangular regions and track each region by computing the likelihoods of them. By introducing non-Gaussian probability densities, we can track the objects that change in scales and shapes. In addition, by introducing semi-parametric representations of the likelihood distributions and adjusting the number of the particles to the transformations of the targets, we can track multiple targets in almost real time. We show the effectiveness of our method by real image examples that are occurred occlusion and changing shapes of the targets.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) particle filter / non-rigid objects tracking / multiple objects tracking / occlusion
Paper # TL2003-55,PRMU2003-241
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Committee TL
Conference Date 2004/2/13(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multiple non-rigid objects tracking using particle filter
Sub Title (in English)
Keyword(1) particle filter
Keyword(2) non-rigid objects tracking
Keyword(3) multiple objects tracking
Keyword(4) occlusion
1st Author's Name Katsumi ABE
1st Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology()
2nd Author's Name Yasushi KANAZAWA
2nd Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology
Date 2004/2/13
Paper # TL2003-55,PRMU2003-241
Volume (vol) vol.103
Number (no) 657
Page pp.pp.-
#Pages 6
Date of Issue