Presentation 2009-10-15
Object Tracking Method based on Scenario-Type Hypothesis Tracking in Segmented Multiple Regions
Masakazu MURATA, Yoshiaki TANIGUCHI, Go HASEGAWA, Hirotaka NAKANO,
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Abstract(in English) In recent years, wireless communication technologies such as ZigBee have been developed. By constructing a wireless sensor network from infrared sensors with those wireless technologies, it is possible to track objects in a wide monitoring region. In this paper, we propose an object tracking method by dividing a wide monitoring region into small multiple regions called "micro cell". Pairwise infrared sensors are placed at borders among micro cells to detect objects and their direction of movement. In our proposed method, we consider virtual micro cells and virtual objects which indicate a variety of hypotheses of object trajectory. Virtual objects are generated, moved, and deleted in virtual micro cells appropriately from sensor information. Through preliminary simulation evaluations, we confirm that tracking accuracy is improved nearly 1.5 times higher by making virtual object when they cross each other.
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Keyword(in English) sensor network / object tracking / region segmentation / scenario-type hypothesis / virtual object
Paper # NS2009-87
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Committee NS
Conference Date 2009/10/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Object Tracking Method based on Scenario-Type Hypothesis Tracking in Segmented Multiple Regions
Sub Title (in English)
Keyword(1) sensor network
Keyword(2) object tracking
Keyword(3) region segmentation
Keyword(4) scenario-type hypothesis
Keyword(5) virtual object
1st Author's Name Masakazu MURATA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Yoshiaki TANIGUCHI
2nd Author's Affiliation Cybermedia Center, Osaka University
3rd Author's Name Go HASEGAWA
3rd Author's Affiliation Cybermedia Center, Osaka University
4th Author's Name Hirotaka NAKANO
4th Author's Affiliation Cybermedia Center, Osaka University
Date 2009-10-15
Paper # NS2009-87
Volume (vol) vol.109
Number (no) 228
Page pp.pp.-
#Pages 6
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