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1、2009IEEEInternationalConferenceonControlandAutomationFrMT1.4Christchurch,NewZealand,December9-11,2009HumanTrackingUsingCeilingPyroelectricInfraredSensorsXiaomuLuo,BaihuaShen,XuemeiGuo,GuocaiLuo,andGuoliWangAbstract—Thispaperpresentsanovelhumantrackingthemeasurem
2、entsfromalotofsensornodesandgetusefulschemebyusingpyroelectricinfraredsensors.Theschemeinformationeventually.Variousdatafusionschemesandincludesthevisibilitymodulationofeachsensordetector,thetechniqueshavebeenproposed,andoneimportantmethodoflayoutofthesystem,the
3、localizationandtrackingalgorithms.themistocontrolthefieldofview(FOV)ofthesensorsbyTheresultsfromthe3DsimulationsusingWebotsandMatlabtogethervalidateourscheme,andcomparisonswithotherusinglow-costFresnellensarrays[7][8].However,weassertrelatedschemesaremadeaswell.S
4、imulationsshowthatthethatthetrackingaccuracycouldbeimprovedevenfurther.proposedapproachachieveshighertrackingaccuracythanInthispaper,weproposeanewschemefortheceilingthoseofotherschemes.infraredsensorssystem.Foursensormodules,eachconsistedoffivesensordetectors,are
5、mountedontheceilingoftheI.INTRODUCTIONmonitoredfield.TheFOVofeachdetectorismodulatedbyaFresnellensarraytoimplementthedesiredspatialHumanmotiontrackingisoneofthemostimportantsegmentations.Thelayoutofthesystem,theselectionoftheresearchthemesforseveralyears.Onesigni
6、ficantapplicationlocalizationandtrackingalgorithmsandthetrackingprocessofhumantrackingistomonitorsingleelderlyresidentsarealsoincludedinthescheme.Takingtheheightofthe[1][2][3].Ingeneral,thecomputervision-basedprocessinghumantargetintoconsideration,anovelthree-dim
7、ensionalforhumantrackingincludesfollowingstages:modelingof(3D)hybridsimulationusingWebotsandMatlabtogetherisenvironments,detectionofmotions,classificationofmovingemployedtovalidateourscheme.Simulationsshowthattheobjects,tracking,understandinganddescriptionofbehav
8、ior,proposedapproachisfeasible,andachieveshighertrackinghumanidentification,andthefusionofdatafrommultipleaccuracythanthoseofotherrelatedschemes[7][8].cameras[4].There
