Image registration in low resolution visual sensor networks

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dc.contributor.advisor Namuduri, Kameswara en_US
dc.contributor.author Balasubramanian, Harini
dc.date.accessioned 2008-09-27T20:56:47Z
dc.date.available 2008-09-27T20:56:47Z
dc.date.copyright 2007 en
dc.date.issued 2007-12
dc.identifier.other t07083
dc.identifier.uri http://hdl.handle.net/10057/1531
dc.description Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Science Engineering en
dc.description "December 2007." en
dc.description.abstract Image registration is the process of integrating data from different coordinate systems into one coordinate system. It is of great interest in video surveillance because of its capability to combine images and generate a larger view of the area under observation, while retaining all the information in the images. This thesis proposes a novel method for registering images obtained from low resolution visual sensor networks by using change detection as a tool for image registration. Two sensors with overlapping fields of view are used to capture images at regular intervals. The images differences are found and significant change is identified using a random threshold. This significant change forms the basis of identifying control points. Once the control points are identified then, the reference image is transformed with respect to the base image using affine transformation. The transformed image and base image are stitched together to obtain the registered image. Experiments using the proposed scheme have shown that precise registration can be achieved. en
dc.format.extent ix, 30 leaves, ill. en
dc.format.extent 661378 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Wichita State University en
dc.subject.lcsh Electronic dissertations en
dc.title Image registration in low resolution visual sensor networks en
dc.type Thesis en

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