Ahmed S. Elliethy

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Modern aerial imaging platforms provide wide-area motion imagery (WAMI) at high spatial and moderate temporal resolutions making feasible a range of new applications. We consider the dual tasks of registering WAMI frames to geo-referenced vector road-maps and tracking vehicles through the progression of WAMI frames. We present a novel algorithm that(More)
We present a novel methodology for a urately registering a ve tor road map to wide area motion imagery (WAMI) gathered from an oblique perspe tive by exploiting the lo al motion asso iated with vehi ular movements. Spe i ally, we identify and ompensate for global motion from frame-to-frame in the WAMI whi h then allows ready dete tion of lo al motion that(More)
To enrich large-scale visual analytics applications enabled by aerial wide area motion imagery (WAMI), we propose a novel methodology for accurately registering a geo-referenced vector roadmap to WAMI by using the locations of detected vehicles and determining a parametric transform that aligns these locations with the network of roads in the roadmap.(More)
This paper reports on a novel application of computer vision and image processing technologies to an interdisciplinary project in architectural history that seeks to help identify and visualize differences between homologous buildings constructed to a common template design. By identifying the mutations in homologous buildings, we assist humanists in giving(More)
We propose a practical combinatorial approach for addressing the challenging task of vehicle tracking in Wide area motion imagery (WAMI) by leveraging a pixel accurate co-registered vector road-map. Specifically, guided by the co-registered road network, we obtain a sparse trellis graph linking each vehicle detection (VD) in a WAMI frame with a road(More)
Parametric chamfer alignment (PChA) is commonly employed for aligning an observed set of points with a corresponding set of reference points. PChA estimates optimal geometric transformation parameters that minimize an objective function formulated as the sum of the squared distances from each transformed observed point to its closest reference point. A(More)
Accurate disparity estimation is a key ingredient required when generating a high fidelity novel view from a set of input views. In this paper, a high quality disparity estimation method is proposed for view synthesis from multiple input images with large disparities and occlusions. The method optimally selects one out of three image pairs to estimate the(More)
Wide Area Motion Imagery (WAMI) is an emerging technology that allow images to be captured for relatively large areas that span substantial parts of a city with high spatial detail typically at low temporal rates. WAMI captured imagery is feeding a corresponding thrust in large scale visual data analytics such as large scale vehicle tracking. The(More)
For specular regions (SRs), the assumption of brightness (or other) constancy between images corresponding to multiple views of a scene breaks down. As a consequence, optical-flow (OF) based motion-estimation (ME) algorithms that rely on constancy assumptions fail for specular regions. At the same time estimation of SRs in an image is also prone to errors,(More)
Image forensics using sensor photo-response nonuniformity (PRNU) provides a powerful method for associating an image with the camera that captured the image. To preserve privacy despite the availability of this powerful tool, we present a new framework for image anonymization. We formulate anonymization as a feasibility problem subject to multiple(More)