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Full-Text Articles in Engineering
What Does A Drone See?: How Aerial Data Resolution Impacts Data Protection, Jonathan Ryan, David Maloney, Brian Quinn
What Does A Drone See?: How Aerial Data Resolution Impacts Data Protection, Jonathan Ryan, David Maloney, Brian Quinn
Session 4: 2D, 3D Scene Analysis and Visualisation
The introduction of General Data Protection Regulation (GDPR) means that organisations are responsible for data protection for all individuals within the E.U. One area of operation that is unclear is to what degree aerial camera systems capture personal data. Mega-pixels and ground sampling distance are normally used as metrics for camera resolution but they ignore a multitude of factors and do not re ect the actual resolving power of the camera system. This work examines the resolution gap by detailing what is actually captured in the image output and how this can be used as an objective measure when addressing …
Object Position Labelling In Video Using Prbs Audio Multilateration, Padraic Mcevoy, Paul Leamy, Damon Berry, David Dorran, Ted Burke
Object Position Labelling In Video Using Prbs Audio Multilateration, Padraic Mcevoy, Paul Leamy, Damon Berry, David Dorran, Ted Burke
Session 4: 2D, 3D Scene Analysis and Visualisation
Supervised machine learning approaches for tracking objects’ positions in video typically require a large set of images in which the positions are labelled. Human labelling is time-consuming and automatic position labelling using visual markers is generally not possible because visible markers would corrupt the data. Here, we present an approach in which an object is tracked using a hidden tag that emits a PRBS audio signal. Four microphones arranged in a planar cross formation capture parallel recordings of the PRBS signal. Multilateration, using the time difference of arrival (TDoA) of the PRBS at each microphone, is used to estimate the …
Ghost Towns: Semantically Labelled Object Removal From Video, William Clifford, Charles Markham
Ghost Towns: Semantically Labelled Object Removal From Video, William Clifford, Charles Markham
Session 4: 2D, 3D Scene Analysis and Visualisation
This paper describes a method used to produce a video of a road in which the foreground itemswhich 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 …