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dc.contributor.authorPAL, RISHI-
dc.date.accessioned2011-02-21T10:51:38Z-
dc.date.available2011-02-21T10:51:38Z-
dc.date.issued2009-01-19-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/13283-
dc.descriptionME THESISen_US
dc.description.abstractChapter 1 Introduction Artificial intelligence is an important topic of the current computer science research. In order to be able to act intelligently a machine should be aware of its environment. The visual information is essential for humans. There- fore, among many di erent possible sensors, the cameras seem very important. Automatically analyzing images and image sequences is the area of research usually called ’computer vision’. This thesis is related to the broad subject of automatic extraction and analysis of useful information about the world from image sequences. The focus in this thesis is on a number of basic oper- ations that are important for many computer vision tasks. These basic steps are analyzed and improvements are proposed. The thesis is divided into three parts: statistical modeling, motion detection and motion measurements. Each part corresponds to one of the basic tasks that were considered. The parts are described separately next in this chapter. ...en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD504;117-
dc.subjectNIGHT VISIONen_US
dc.subjectOBJECTen_US
dc.titleTRACKING OF AN OBJECT – NIGHT VISIONen_US
Appears in Collections:M.E./M.Tech. Electronics & Communication Engineering

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