Browsing by Subject "Computer Vision and Image Processing"
Now showing items 1-6 of 6
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Automatic Discovery and Geotagging of Objects from Street View Imagery
(2018)Many applications, such as autonomous navigation, urban planning, and asset monitoring, rely on the availability of accurate information about objects and their geolocations. In this paper, we propose the automatic detection ... -
Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video
(2007)In this paper we present our preliminary results in the automatic analysis of colonoscopy video using eye-tracking. We propose that eye-tracking can be successfully applied to solve different problems in computer assisted ... -
The Impact of Structured Incentives on the Adoption of a Serious Game for Hand Hygiene Training in a Hospital Setting.
(IOS Press, 2016)Hand hygiene is recognized by the CDC as the most effective method of preventing Hospital Acquired Infections (HAIs) which cost the US healthcare system $14 Billion. However, training and promotion of hand hygiene ... -
Irish Machine Vision and Image Processing Conference Proceedings 2018
(Irish Pattern Recognition and Classification Society, 2018)With IMVIP 2018 the series of Irish Machine Vision and Image Processing conferences reaches a landmark occasion: IMVIP 2018 is the 20th edition in a series of which the inaugural meeting was held at the Magee campus of ... -
Recognising Actions for Instructional Training using Pose Information: A Comparative Evaluation.
(2019)Humans perform many complex tasks involving the manipulation of multiple objects. Recognition of the constituent actions of these tasks can be used to drive instructional training systems. The identities and poses of the ... -
Restoration of colour channel misalignments in colonoscopy videos
(Trinity College Dublin, 2007)We propose a method to restore colonoscopy videos that have low quality RGB images. The main problem concerns a time delay occurring in between the recordings of the R, G and B colour channels. As the camera is moving ...