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dc.contributor.advisorKolsch, Mathias
dc.contributor.advisorSquire, Kevin
dc.contributor.authorMayo, Donald R.
dc.date.accessioned2012-03-14T17:37:50Z
dc.date.available2012-03-14T17:37:50Z
dc.date.issued2007-09
dc.identifier.urihttp://hdl.handle.net/10945/3268
dc.description.abstractThis research provides analysis of several approaches to the fusion of multiple dissimilar sensors to supplement simple color vision detection and recognition. Non-visible sensor systems can enhance computer vision systems. Our research investigates using thermal infrared (IR) sensors in combination with color data for object detection and recognition. We analyze several types of high-level and low-level sensor fusion to compare error rates with raw color and raw IR error rates in detection and recognition of vehicles in a scene. Principal components analysis is used to reduce the dimensionality of sensor input data in order to discard non-essential data, while preserving data important to classification. One recognition method showing promise is to exploit the strength of non-visible information (low light, shadows, etc.) to reduce the search space for color data by replacing the V channel in the HSV color sensor data with IR. For detection, one method showing promise is replacement or averaging of the dominant color channel with IR.en_US
dc.description.urihttp://archive.org/details/fusionofmultiple109453268
dc.format.extentxvi, 89 p. : ill. (chiefly col.) ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshColor photographyen_US
dc.subject.lcshComputer scienceen_US
dc.subject.lcshColor visionen_US
dc.subject.lcshPrincipal components analysisen_US
dc.subject.lcshMultisensor data fusionen_US
dc.subject.lcshFusionen_US
dc.titleFusion of multiple sensor types in computer vision systemsen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.description.serviceUS Marine Corps (USMC) author.en_US
dc.identifier.oclc176886941
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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