Presentation 2007-02-22
Distributed Cooperative Particle Filter for Sensor Network : An Application to Multi-View Soccer Ball Tracking
Toshihiko MISU, Atsushi MATSUI, Masahide NAEMURA, Mahito FUJII, Nobuyuki YAGI,
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Abstract(in English) This paper proposes a distributed state estimation architecture for multi-sensor network. The architecture consists of networked agents that cooperatively estimate the state of a common target from their own observations. Each agent is equipped with a self-contained particle filter that can operate in stand-alone as well as in network mode with a particle exchange function. We applied this flexible architecture to 3D soccer-ball tracking by modeling the imaging processes related to the centroid, size, and motion-blur of a target, and by modeling the dynamics with ballistic motion, bounce, and rolling. To evaluate the precision and robustness of the system, we conducted experiments using multiocular images of a professional soccer match.
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Keyword(in English) particle filter / multi-agent system / sensor network / object tracking
Paper # PRMU2006-208,HIP2006-101
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Committee HIP
Conference Date 2007/2/15(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Distributed Cooperative Particle Filter for Sensor Network : An Application to Multi-View Soccer Ball Tracking
Sub Title (in English)
Keyword(1) particle filter
Keyword(2) multi-agent system
Keyword(3) sensor network
Keyword(4) object tracking
1st Author's Name Toshihiko MISU
1st Author's Affiliation NHK Science & Technical Research Laboratories()
2nd Author's Name Atsushi MATSUI
2nd Author's Affiliation NHK Science & Technical Research Laboratories
3rd Author's Name Masahide NAEMURA
3rd Author's Affiliation NHK Science & Technical Research Laboratories
4th Author's Name Mahito FUJII
4th Author's Affiliation NHK Science & Technical Research Laboratories
5th Author's Name Nobuyuki YAGI
5th Author's Affiliation NHK Science & Technical Research Laboratories
Date 2007-02-22
Paper # PRMU2006-208,HIP2006-101
Volume (vol) vol.106
Number (no) 540
Page pp.pp.-
#Pages 6
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