Presentation 2012-02-10
Difference Information based Particle Filter for Object Tracking in Complex Environment
Yuhi SHIINA, Takeshi IKENAGA,
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Abstract(in English) Particle filter is well known as a robust object tracking algorithm based on prediction with many distributed particles and is widely used for many practical applications. However, since conventional methods use the information of color or shape to determine one particle's likelihood in Measurement, the tracking region is hijacked by the objects similar to target in appearance. This paper proposes a difference information based particle filter which targets for robust object tracking in complex environment includes some objects similar to target in appearance. By employing the information of moving objects which is gotten from frame difference into Measurement, the proposed method makes it possible to track stably even if the target is in complex environment. Evaluation results with a software simulation shows that the proposed method attains high tracking accuracy for a ball tracking in volleyball scene.
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Keyword(in English) Particle Filter / Object Tracking / Measurement / Frame Difference
Paper # PRMU2011-225,SP2011-140
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Conference Date 2012/2/2(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Difference Information based Particle Filter for Object Tracking in Complex Environment
Sub Title (in English)
Keyword(1) Particle Filter
Keyword(2) Object Tracking
Keyword(3) Measurement
Keyword(4) Frame Difference
1st Author's Name Yuhi SHIINA
1st Author's Affiliation Graduate School of Fundamental Science and Engineering, Waseda University()
2nd Author's Name Takeshi IKENAGA
2nd Author's Affiliation Graduate School of Fundamental Science and Engineering, Waseda University
Date 2012-02-10
Paper # PRMU2011-225,SP2011-140
Volume (vol) vol.111
Number (no) 431
Page pp.pp.-
#Pages 6
Date of Issue