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Object-background segmentation from video
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
Fast 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 ...
New learning based super resolution using contourlet transform
(Dhirubhai Ambani Institute of Information and Communication Technology, 2009)
new learning based super-resolution reconstruction using contourlet transforms is proposed. contourlet transform provides high degree of directionality. It captures geometrical smoothness along multiple directions and ...
Multiresolution fusion of satellite images and super-resolution of hyper-spectral images
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
This thesis presents a model based approach for multi-resolution fusion of the satellite images. Given a high resolution panchromatic (Pan) image and a low spatial but high spectral resolution multi spectral (MS) image ...
Moment based image segmentation
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
Usually, digital image of scene is not same as actual; it may degrade because of environment, camera focus, lightening conditions, etc. Segmentation is the key step before performing other operations like description, ...
Human action recognition in video
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ...
Disparity estimation by stereo using particle swarm optimization and graph cuts
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
Stereo vision is based on the process of obtaining the disparity from a left and a right view of a scene. By obtaining the disparity, we find the distance (depth) of each object point from the camera so that we can construct ...
Differential geometry and image processing
(Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
There are various ways of observing and interpreting images. At higher levels of abstraction, one looks at an image as collections of objects, while at the other end it is just a collection of curves and surfaces. We study ...
Image ranking based on clustering
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted
by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
Locality preserving projection: a study and applications
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
Locality Preserving Projection (LPP) is a recently proposed approach for dimensionality
reduction that preserves the neighbourhood information and obtains a subspace that best
detects the essential data manifold structure. ...
Multiresolution fusion using compressive sensing and graph cuts
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
Multiresolution fusion refers to the enhancement of low spatial resolution (LR) of Multispectral
(MS) images to that of Panchromatic (Pan ) image without compro- mising on the spectral
details. Many of the present day ...