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dc.contributor.authorÇınaroğlu, İbrahim
dc.contributor.authorBaştanlar, Yalın
dc.date.accessioned2017-04-27T13:08:50Z
dc.date.available2017-04-27T13:08:50Z
dc.date.issued2014
dc.identifier.citationÇınaroğlu, İ., and Baştanlar, Y. (2014, April 23-25). A Direct approach for human detection with catadioptric omnidirectional cameras. Paper presented at the 22nd Signal Processing and Communications Applications Conference. doi:10.1109/SIU.2014.6830719en_US
dc.identifier.isbn9781479948741
dc.identifier.urihttp://doi.org/10.1109/SIU.2014.6830719
dc.identifier.urihttp://hdl.handle.net/11147/5427
dc.description22nd Signal Processing and Communications Applications Conference, SIU 2014; Trabzon; Turkey; 23 April 2014 through 25 April 2014en_US
dc.description.abstractThis paper presents an omnidirectional vision based solution to detect human beings. We first go through the conventional sliding window approaches for human detection. Then, we describe how the feature extraction step of the conventional approaches should be modified for a theoretically correct and effective use in omnidirectional cameras. In this way we perform human detection directly on the omnidirectional images without converting them to panoramic or perspective image. Our experiments, both with synthetic and real images show that the proposed approach produces successful results. © 2014 IEEE.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/SIU.2014.6830719en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVideo camerasen_US
dc.subjectHuman detectionen_US
dc.subjectObject detectionen_US
dc.subjectOmnidirectional camerasen_US
dc.subjectPedestrian detectionen_US
dc.titleA Direct approach for human detection with catadioptric omnidirectional camerasen_US
dc.typeconferenceObjecten_US
dc.contributor.authorIDTR176747en_US
dc.contributor.iztechauthorÇınaroğlu, İbrahim
dc.contributor.iztechauthorBaştanlar, Yalın
dc.relation.journal22nd Signal Processing and Communications Applications Conferenceen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.startpage2275en_US
dc.identifier.endpage2279en_US
dc.identifier.wosWOS:000356351400548
dc.identifier.scopusSCOPUS:2-s2.0-84903772827


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