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Object detection in security applications using dominant edge directions

Object detection in security applications using ...

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dc.contributor.author Kmieć, Marcin [SAP14012556] pl
dc.contributor.author Głowacz, Andrzej pl
dc.date.accessioned 2015-05-26T12:29:29Z
dc.date.available 2015-05-26T12:29:29Z
dc.date.issued 2015 pl
dc.identifier.issn 0167-8655 pl
dc.identifier.uri http://ruj.uj.edu.pl/xmlui/handle/item/8131
dc.language eng pl
dc.title Object detection in security applications using dominant edge directions pl
dc.type JournalArticle pl
dc.description.physical 72-79 pl
dc.identifier.weblink http://ac.els-cdn.com/S0167865514003110/1-s2.0-S0167865514003110-main.pdf?_tid=15080d44-03a2-11e5-bf4b-00000aacb35f&acdnat=1432643217_d6fb79dee1fe917e1519c0cb4e7fbc45 pl
dc.abstract.en This paper presents a novel approach to object detection in images. We build on the existing work on detecting knives in images, which has previously attempted to solve the problem by using the well-established histogram of oriented gradients (HOG) features. We introduce a new feature set that allows for rapid initial object location in images, and can then be followed by the use of an object specific detector. This approach allows for speeding up the overall detection process, which has been demonstrated on the example of knives, and is in the position of bringing many object detectors closer to real-time execution speeds. pl
dc.subject.en Dominant edge orientation pl
dc.subject.en Histograms of oriented gradients pl
dc.subject.en Knife detection pl
dc.subject.en Object detection pl
dc.description.volume 52 pl
dc.description.publication 0,2 pl
dc.identifier.doi 10.1016/j.patrec.2014.09.018 pl
dc.identifier.eissn 1872-7344 pl
dc.title.journal Pattern Recognition Letters pl
dc.language.container eng pl
dc.date.accession 2015-05-26 pl
dc.affiliation Wydział Zarządzania i Komunikacji Społecznej : Katedra Systemów Informatycznych pl
dc.subtype Article pl
dc.rights.original OTHER; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0; pl
.pointsMNiSW [2015 A]: 25


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