شماره مدرك :
5896
شماره راهنما :
5511
پديد آورنده :
هوشمند، محسن
عنوان :

تشكيل تصوير پانوراما با استفاده از اطلاعات شبكه هاي حسگر دوربين

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
هوش مصنوعي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
سال دفاع :
1389
صفحه شمار :
هشت،99ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
شادرخ سماوي
استاد مشاور :
نيلوفر قيصري
توصيفگر ها :
پوشش , مسيريابي
تاريخ نمايه سازي :
21/2/90
استاد داور :
رسول امير فتاحي، پژمان خديوي
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID5511
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Construction of Panoramic Images Based on Information Obtained from Wireless Camera Sensor Network Mohsen Hooshmand m houshmand@cc iut ac ir Date of Submission 2011 01 19 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Shadrokh Samavi Samavi96@cc iut ac ir Advisor Niloofar Gheissari n gheissari@cc iut ac ir Abstract Wireless sensor networks WSNs are one of the most interesting consequences of innovations indifferent areas of technology including wireless and mobile communications networking and sensor design These networks are considered as a class of wireless networks which are constructed by a set of sensors Alarge number of applications have been proposed for WSNs Besides having numerous applications differenttypes of issues must be addressed regarding the sensor networks such as placement data routing powerconsumption and security Wireless camera sensor network WCSN is constructed by a set of small and lowcost sensor nodes which can produce images or videos from the sensing area The images are then processedand transmitted to other sensors or to a central base station These networks are highly applicable in securitysurveillance environment monitoring industrial process control and person locator services Due to theirbroad applications these networks have been widely addressed in recent works View enhancement and fieldof view expansion are some applications of camera sensor networks These networks can also enable multi resolution views Furthermore the ability of object tracking in a dramatically large area is another advantageof these networks The main difference between the WCSN and other types of WSN is the type of the sensorswhich are employed in WCSNs Regular non camera sensors collect scalar data from the environment while camera sensors make images of the surrounding environment Camera sensor networks are categorizedas homogeneous and heterogeneous ones Homogeneous WCSNs are constructed by exactly similar sensornodes while in heterogeneous networks various types of sensors can work together In heterogeneousnetworks not only different types of camera sensors may be employed but also non camera sensors may beused as well An interesting and versatile application of WCSNs is in security surveillance and environmentmonitoring Therefore seamless coverage of a vast area is an important issue in these applications It hasbeen shown that in regular sensor networks coverage is an NP complete problem Hence heuristics havebeen proposed for indoor environments such as shopping centers hospitals and airports The goal of thisresearch is to apply optimization image processing and machine vision techniques for better use of thenetwork s resources in order to generate an image of the intended scene Therefore at each time step agroup of sensors should be selected to cover the intended area such that the life of the network could bemaximized Also since the sensors need to communicate with a central node issues such as routing shouldbe considered Using machine vision techniques a panoramic image of the scene under surveillance isgenerated In this thesis four groups of algorithms are presented for better selection of sensors whileconsidering the routing problems These groups of algorithms are classified as priority visual neighbouring communication neighbouring and evolutionary methods Simulation results reveal that priority based visualneighbouring ones and evolutionary methods are suitable when a central decision system exists On theother hand when the decision making is distributed among the sensors algorithms based on communicationneighbouring are more suitable Evolutionary methods show an overall better performance in regards to theuse of network resources Keywords Camera sensor network Coverage Routing Panorama images
استاد راهنما :
شادرخ سماوي
استاد مشاور :
نيلوفر قيصري
استاد داور :
رسول امير فتاحي، پژمان خديوي
لينک به اين مدرک :

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