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.
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dc.subject.en
Dominant edge orientation
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dc.subject.en
Histograms of oriented gradients
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dc.subject.en
Knife detection
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dc.subject.en
Object detection
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dc.description.volume
52
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dc.description.publication
0,2
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dc.identifier.doi
10.1016/j.patrec.2014.09.018
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dc.identifier.eissn
1872-7344
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dc.title.journal
Pattern Recognition Letters
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dc.language.container
eng
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dc.date.accession
2015-05-26
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dc.affiliation
Wydział Zarządzania i Komunikacji Społecznej : Katedra Systemów Informatycznych
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dc.subtype
Article
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dc.rights.original
OTHER; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0;