Presentation 2013-04-26
Human tracking in indoor scenes using Particle Filter and the non-search area
Kota ITO, Akira KUBOTA,
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Abstract(in English) Recently, it has been possible to develop the high-performance and low-cost imaging equipments. Thereby, fields of detecting and tracking moving objects by image processing software have been proposed. It is expected by these studies that it is the application of the movement trajectory of a person in multiple video to many fields such as buying psychology and security analysis. Further, when tracked using ParticleFitler in an environment where many people are crossing, erroneous track is often likely to be caused by reason that people have similar characteristics to the target person. This paper presents the non-searching area which reduce the likelihood of non-target who exists around the tracking object. We try to improve the accuracy of tracking. The experimental results in scenes which is difficult in tracking by conventional method revealed that the proposed method improved the accuracy of tracking.
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Keyword(in English) ParticleFilter / multiple-object / human tracking / non-search area / indoor scenes
Paper # IE2013-2
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Conference Information
Committee IE
Conference Date 2013/4/19(1days)
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Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Human tracking in indoor scenes using Particle Filter and the non-search area
Sub Title (in English)
Keyword(1) ParticleFilter
Keyword(2) multiple-object
Keyword(3) human tracking
Keyword(4) non-search area
Keyword(5) indoor scenes
1st Author's Name Kota ITO
1st Author's Affiliation Faculty of Engineering, Chuo University()
2nd Author's Name Akira KUBOTA
2nd Author's Affiliation Faculty of Engineering, Chuo University
Date 2013-04-26
Paper # IE2013-2
Volume (vol) vol.113
Number (no) 20
Page pp.pp.-
#Pages 6
Date of Issue