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In this paper, a review is presented for the research on eye gaze estimation techniques and applications, which has progressed in diverse ways over the past two decades. Several generic eye gaze use-cases are identified: desktop, TV, head-mounted, automotive, and handheld devices. Analysis of the literature leads to the identification of several platform specific factors that influence gaze tracking...
A number of well-known algorithms for skin segmentation in unconstrained acquisition conditions are tested across many of the best known color spaces and some less well known ones. Although in theory each color space provides the exact same information, our results show that certain color spaces are more optimal where fast segmentation with limited resources is required. A comparative analysis and...
An ‘edge-based’ image processing architecture for the internet of things (IoT) is devised, drawing on the existing image processing pipelines that are implemented in today's imaging modules in digital cameras and smartphones. A key element of this IoT framework is that image or video data does not have to be streamed across the network, but can be largely processed on the sensing nodes with metadata...
The explosion of user-generated content on the Social Web published from mobile devices has seen reporting applications grow in popularity from self-reporting style workout tracking applications like Fitocracy1 to community reporting applications like FixMyStreet2. In this paper, we introduce the concept of social mobile reporting where a community of people report on issues within their environment...
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