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dc.contributor.authorErden, F.en_US
dc.contributor.authorAlkar, A. Z.en_US
dc.contributor.authorCetin, A. E.en_US
dc.date.accessioned2016-02-08T09:44:38Z
dc.date.available2016-02-08T09:44:38Z
dc.date.issued2015en_US
dc.identifier.issn1350-4495
dc.identifier.urihttp://hdl.handle.net/11693/21314
dc.description.abstractIn this paper, a multi-modal solution to the people counting problem in a given area is described. The multi-modal system consists of a differential pyro-electric infrared (PIR) sensor and a camera. Faces in the surveillance area are detected by the camera with the aim of counting people using cascaded AdaBoost classifiers. Due to the imprecise results produced by the camera-only system, an additional differential PIR sensor is integrated to the camera. Two types of human motion: (i) entry to and exit from the surveillance area and (ii) ordinary activities in that area are distinguished by the PIR sensor using a Markovian decision algorithm. The wavelet transform of the continuous-time real-valued signal received from the PIR sensor circuit is used for feature extraction from the sensor signal. Wavelet parameters are then fed to a set of Markov models representing the two motion classes. The affiliation of a test signal is decided as the class of the model yielding higher probability. People counting results produced by the camera are then corrected by utilizing the additional information obtained from the PIR sensor signal analysis. With the proof of concept built, it is shown that the multi-modal system can reduce false alarms of the camera-only system and determines the number of people watching a TV set in a more robust manner.en_US
dc.language.isoEnglishen_US
dc.source.titleInfrared Physics and Technologyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.infrared.2015.07.019en_US
dc.subjectInfrared sensorsen_US
dc.subjectMarkov modelsen_US
dc.subjectMulti-modal systemsen_US
dc.subjectPeople countingen_US
dc.subjectAdaptive boostingen_US
dc.subjectCamerasen_US
dc.subjectContinuous time systemsen_US
dc.subjectFeature extractionen_US
dc.subjectInfrared detectorsen_US
dc.subjectInfrared devicesen_US
dc.subjectMarkov processesen_US
dc.subjectWavelet transformsen_US
dc.subjectAda boost classifiersen_US
dc.subjectDecision algorithmsen_US
dc.subjectMarkov modelen_US
dc.subjectNumber of peoplesen_US
dc.subjectPeople countingen_US
dc.subjectWavelet parametersen_US
dc.subjectSecurity systemsen_US
dc.titleA robust system for counting people using an infrared sensor and a cameraen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage127en_US
dc.citation.epage134en_US
dc.citation.volumeNumber72en_US
dc.identifier.doi10.1016/j.infrared.2015.07.019en_US
dc.publisherElsevier BVen_US


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