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1、AnimalTrackingforBehaviorModelingJamesM.RehgGeorgiaTech(standinginforTuckerBalch)PeoplePITuckerBalchFacultyJimRehg,ComputerScienceCollaboratoronanimaltrackingAaronBobick,ComputerScienceCollaboratoronanimalbehaviormodelingBruceWalker,PsychologyCollaboratoronaquariumprojectAt
2、sushiNakazawa,ComputerScience(OsakaUniv.,Japan)CollaboratoronanimaltrackingPhDStudentsMichaelNovitzkyJinLeeMatthewFlaggGoalsTracksocialanimalsreliablyundernaturalconditions(invivo)fromvideoEstimatebehavioralparametersfromtrackingdataConstructexecutablemodelsofsocialanimalbe
3、haviorDevelopabiologically-inspiredprotocolfordynamicteamformationYear1OverviewGoalDevelopreliablemulti-targettrackingalgorithmsforanimalsinvideoApproachJointlyestimatesegmentationandmotionofanonrigid,deformabletargetKeyrequirementsReliablyestimatetargetshapeovertime,tosupp
4、ortbehavioralanalysisMinimizetheamountofhumaneffortrequiredChallengesAccuratesegmentationoftargetSet-pointtrackingisnotsufficientTrackreliablywithsignificantcameramotionBackgroundsubtractionisnotsufficientHandleawiderangeofanimalsScalablesolutionfortheanimalkingdomTrackmul
5、tipleinteractingtargetsMultipleinstancesoftargettype(e.g.wolfpack)Occlusions(withself,othertargets,andbackground)Tracklongsequences,trackacrosscutsApproachBasicresearchinvideoobjectsegmentationandtrackingModularsoftwarearchitectureEasilychangefeatures,models,andsolverTestin
6、gintwoscenariosAquariumMonitoringLongsequences,staticcamera,somemodelingeffortTrackingAnimalPlanetvideosShortersequences,movingcamera,minimalhumaneffortPreliminaryapplicationAccessibleAquariumProjectTrackingAppBasicTrackers:Contourfeaturew/IteratedClosestPointColorfeaturew/
7、MeanShiftColorHistogramTrackerFishModel:AppearancemodelForeachspeciesoffish,multipleHSVColorHistogramsonImagepatchesOff-lineModelSelectionbyHumanDetectionandTracking:Histogram-basedmeanshiftapproachMaximizationofBhattacharyyaCoefficientbetweenObservationandModelSelectionofa
8、modelwiththehighestcoefficientandupdatetrackHistogram-basedModelSelectionModelImag