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dc.contributor.advisorBerthold K.P. Horn and Ichiro Masaki.en_US
dc.contributor.authorLove, Nicole S. (Nicole Sharlene)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2005-06-02T19:46:35Z
dc.date.available2005-06-02T19:46:35Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/18050
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.en_US
dc.descriptionIncludes bibliographical references (leaves 129-139).en_US
dc.description.abstractThe need for improved security requires the development of better monitoring systems. These systems must manage large numbers of images sent over communication networks. For example, a high transmission load results when security cameras continuously transmit images. Operators are bored and fatigued from viewing cycled images on a few monitors. In this thesis, we present a smart camera network that reduces transmission load and provides operators with relevant images. A smart camera is capable of compressing and processing images. Our 3D compression method (based on Mizuki's 2D method) retains features (contour, color, depth, and motion) that form the basis of object detection. The compressed image is used directly in segmentation. To reduce transmission loads, we use mobile agents to filter the network. Mobile agents are dispatched to smart cameras with user defined goals that conditionally allow image transmission. For traffic monitoring, smart cameras determine traffic flow and accidents. Mobile agents send images or information based on image content. The contribution of this work is the 3D compression method designed for processing compressed image data and the design of a system to improve camera centered networks using smart cameras and mobile agents. Our system can be used in security systems, where image content can promote an efficient transmission of images.en_US
dc.description.statementofresponsibilityby Nicole Sharlene Love.en_US
dc.format.extent139 leavesen_US
dc.format.extent6480315 bytes
dc.format.extent6498727 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleRecognition of 3D compressed images and its traffic monitoring applicationsen_US
dc.title.alternativeRecognition of three-dimensional compressed images and its traffic monitoring applicationsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.identifier.oclc57377195en_US


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