Detection and localization of objects in time-varying imagery using attention, representation and memory pyramids
Identifieur interne : 000C35 ( Istex/Corpus ); précédent : 000C34; suivant : 000C36Detection and localization of objects in time-varying imagery using attention, representation and memory pyramids
Auteurs : Vicente Concepcion ; Harry WechslerSource :
- Pattern Recognition [ 0031-3203 ] ; 1996.
Abstract
This paper describes a novel approach in target recognition, using active and selective perception and perceptual learning in the analysis of time-varying imagery. Attention mechanisms are implemented through the use of three linked functional pyramids corresponding to image representation, memory, and attention. Multiresolution search, supported by saccade and zoom-lens control, allows a system's focus of attention to roam inside an image pyramid under the guidance of an attention pyramid and analyse a field-of-view at any available resolution. Simulations showed this approach reducing the volume of data to be processed and performing robustly as characterized by the absence of false negatives and the presence of very few false positives.
Url:
DOI: 10.1016/0031-3203(96)00013-1
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Attention mechanisms are implemented through the use of three linked functional pyramids corresponding to image representation, memory, and attention. Multiresolution search, supported by saccade and zoom-lens control, allows a system's focus of attention to roam inside an image pyramid under the guidance of an attention pyramid and analyse a field-of-view at any available resolution. 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Simulations showed this approach reducing the volume of data to be processed and performing robustly as characterized by the absence of false negatives and the presence of very few false positives.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Attention</ce:text></ce:keyword><ce:keyword><ce:text>Active perception</ce:text></ce:keyword><ce:keyword><ce:text>Target search</ce:text></ce:keyword><ce:keyword><ce:text>Target recognition</ce:text></ce:keyword><ce:keyword><ce:text>Saccade</ce:text></ce:keyword><ce:keyword><ce:text>Zoom-lens</ce:text></ce:keyword><ce:keyword><ce:text>Multiresolution</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Detection and localization of objects in time-varying imagery using attention, representation and memory pyramids</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Detection and localization of objects in time-varying imagery using attention, representation and memory pyramids</title></titleInfo><name type="personal"><namePart type="given">Vicente</namePart><namePart type="family">Concepcion</namePart><affiliation>The MITRE Corporation, MS Z511, 7525 Colshire Drive, McLean, VA 22102, U.S.A.</affiliation><description>Author for correspondence.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Harry</namePart><namePart type="family">Wechsler</namePart><affiliation>George Mason University, Department of Computer Science, Fairfax, VA 22030, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1996</dateIssued><dateValid encoding="w3cdtf">1996-01-12</dateValid><dateModified encoding="w3cdtf">1995-11-27</dateModified><copyrightDate encoding="w3cdtf">1996</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">This paper describes a novel approach in target recognition, using active and selective perception and perceptual learning in the analysis of time-varying imagery. 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