Bitvectors for Robust Hierarchical Template Matching

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dc.contributor.authorTweed, Daviden_US
dc.contributor.editorMike Chantleren_US
dc.date.accessioned2016-02-11T13:30:56Z
dc.date.available2016-02-11T13:30:56Z
dc.date.issued2005en_US
dc.description.abstractMany target detection problems involve objects where the primary variability in appearance is due to changes amongst characteristic configurations (as opposed to the systematic variability of object rotation or illumination changes). It is then important to utilise as much of the correlation between features as possible. Detecting pedestrians is such a problem and was tackled by Gavrila [Gav98] using a large set of exemplar templates combined with hierarchical matching via Distance Transforms. We describe a variant using a robust distance function and explicit allowance for occlusions. Our innovation is using bitwise logical operators to test against multiple exemplars in parallel.en_US
dc.description.sectionheadersPoster Session 2en_US
dc.description.seriesinformationVision, Video, and Graphics (2005)en_US
dc.identifier.doi10.2312/vvg.20051024en_US
dc.identifier.isbn3-905673-57-6en_US
dc.identifier.pages181-188en_US
dc.identifier.urihttps://doi.org/10.2312/vvg.20051024en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [Image Processing and computer vision]en_US
dc.subjectObject recognitionen_US
dc.titleBitvectors for Robust Hierarchical Template Matchingen_US
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