Show simple item record

dc.contributor.advisorMitra, Suman K.
dc.contributor.authorDomadiya, Prashant
dc.date.accessioned2017-06-10T14:43:11Z
dc.date.available2017-06-10T14:43:11Z
dc.date.issued2015
dc.identifier.citationDomadiya, Prashant (2015). Object-background segmentation from video. Dhirubhai Ambani Institute of Information and Communication Technology, xi, 53 p. (Acc.No: T00522)
dc.identifier.urihttp://drsr.daiict.ac.in/handle/123456789/559
dc.description.abstractFast and accurate algorithms for background-foreground separation are an essential part of <p/>any video surveillance system. GMM (Gaussian Mixture Models) based object segmentation <p/>methods give accurate results for background-foreground separation problems but are <p/>computationally expensive. In contrast, modeling with only single Gaussian improves the <p/>time complexity with the reduction in the accuracy due to variations in illumination and <p/>dynamic nature of the background. It is observed that these variations affect only a few <p/>pixels in an image. Most of the background pixels are unimodal. We propose a method <p/>to account for the dynamic nature of the background and low lighting conditions. It is an <p/>adaptive approach where each pixel is modeled as either unimodal Gaussian or multimodal <p/>Gaussians. The flexibility in terms of number of Gaussians used to model each pixel, along <p/>with learning when it is required approach reduces the time complexity of the algorithm <p/>significantly. To resolve problems related to false negative due to the homogeneity of color <p/>and texture in foreground and background, a spatial smoothing is carried out by K-means, <p/>which improves the overall accuracy of proposed algorithm. The shadow causes the problem <p/>in many applications which rely on segmentation results. Shadow cause variation in <p/>RGB values of pixels, RGB value dependent GMM based method can’t remove shadow <p/>from detection results. The preprocessing stage involving illumination invariant representation <p/>takes care of the object shadow as well.
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectVideo segmentation
dc.subjectVideo Object Segmentation
dc.subjectChange Detection
dc.subjectobject compression
dc.subjectVideo surveillance
dc.subjectVideo compression
dc.subjectDigital video
dc.subjectImage processing
dc.subjectDigital techniques
dc.classification.ddc004 DOM
dc.titleObject-background segmentation from video
dc.typeDissertation
dc.degreeM. Tech
dc.student.id201311028
dc.accession.numberT00522


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record