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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Ghost Towns: Semantically Labelled Object Removal From Video Clifford, William; Markham, Charles. - 2019 Abstract: This paper describes a method used to produce a video of a road in which the foreground items which obstruct the view of the road have been removed i.e. other vehicles. Once these regions have been identified they are replaced using suitable images that closely resemble the original background. The work considers an approach that uses multiple video sequences of the same road (C1.Cn). One video is identified as video Cp , that requires the least repair. All instances of vehicles in each frame of video were identified using a Convolutional Neural Network (CNN). The regions associated with each vehicle were then filled using suitable regions from the frames from the remaining streams (assuming at least one of these streams has a background region visible which matches our query region in Cp ). To match frames and locate suitable patches ideally the video sequences need to be aligned both temporally and structurally. To match the frames temporally a bag of visual words approach was taken. To align the frames structurally a template search was performed on regions surrounding the region to be replaced. Given the template matches, the region between these templates in the matching frame were used to fill where the vehicles were previously, leaving behind only the background. URL: http://mural.maynoothuniversity.ie/14360/1/WC_ghost%20towns.pdf http://mural.maynoothuniversity.ie/14360/ BASE Hide details 2 Weakly Supervised Training of a Sign Language Recognition System Using Multiple Instance Learning Density Matrices Kelly, Daniel; McDonald, John; Markham, Charles. - : IEEE, 2011 BASE Show details 3 A person independent system for recognition of hand postures used in sign language Kelly, Daniel; McDonald, John; Markham, Charles. - : Elsevier, 2010 BASE Show details 4 Evaluation of Threshold Model HMMs and Conditional Random Fields for Recognition of Spatiotemporal Gestures in Sign Language Kelly, Daniel; McDonald, John; Markham, Charles. - : IEEE, 2009 BASE Show details 5 Recognizing Spatiotemporal Gestures and Movement Epenthesis in Sign Language Kelly, Daniel; McDonald, John; Markham, Charles. - : IEEE, 2009 BASE Show details 6 Continuous recognition of motion based gestures in sign language Kelly, Daniel; McDonald, John; Markham, Charles. - : IEEE, 2009 BASE Show details 7 Automatic Recognition of Head Movement Gestures in Sign Language Sentences Kelly, Daniel; Reilly Delannoy, Jane; McDonald, John. - : Dept. of Computer Science, National University of Ireland, Maynooth, 2009 BASE Show details 8 A Framework for Continuous Multimodal Sign Language Recognition Kelly, Daniel; Delannoy, Jane Reilly; McDonald, John. - : ACM, 2009 BASE Show details 9 Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences Kelly, Daniel; Delannoy, Jane Reilly; McDonald, John. - : IEEE, 2009 BASE Show details 10 Analysis of Sign Language Gestures Using Size Functions and Principal Component Analysis Kelly, Daniel; McDonald, John; Lysaght, Thomas. - : IEEE, 2008 BASE Show details 11 A system for teaching sign language using live gesture feedback Kelly, Daniel; McDonald, John; Markham, Charles. - : IEEE, 2008 BASE Show details

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