简介：Thispapershowsthemethodofestimatingspatiotemporaldistributionofpedestriansbyusingwatchcameras.Weestimatethedistributionwithouttrackingtechnology,withpedestrian’sprivacyprotectedandinUmedaundergroundmall.Latelyspatiotemporaldistributionofpedestrianshasbeingincreasinglyimportantinthefieldofurbanplanning,disasterpreventionplanning,marketingandsoon.Althoughmanyresearchershavetriedtocapturetheinformationoflocationasdealingwithsomesensors,someproblemsstillremain,suchastheinvestmentofsensors,therestrictionofthenumberofpeoplewhohasthedevicetheyareabletocapture.Fromsuchbackground,wedevelopanoriginallabellingalgorithmandestimatethespatiotemporaldistributionofpedestriansandtheinformationofthepassingtimeandthedirectionofpedestriansfromsequentialimagesofawatchcamera.

简介：Basedonthenichegeneticalgorithm,theintelligentandoptimizingmodelfortherollingforcedistributioninhotstripmillswasputforward.Theresearchshowedthatthemodelhadmanyadvantagessuchasfastsearchingspeed,highcalculatingprecisionandsuitingforon-linecalculation.Agoodstripshapecouldbeachievedbyusingthemodelanditisappropriateandpracticableforrollingproducing.

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