Now showing items 1-5 of 5
GazeVisual: A practical software tool and web application for performance evaluation of eye tracking systems
The concept and functionalities of a software tool developed for in depth performance evaluation of eye gaze estimation systems is presented. The software, GazeVisual has capabilities for quantitative, statistical, and ...
Deep learning for consumer devices and services 2-AI gets embedded at the edge
The recent explosive growth of deep learning is enabling a new generation of intelligent consumer devices. Specialized deep learning inference now provides data analysis capabilities that once required an active cloud ...
Edge-AI: Rise of the neural accelerators
(EMAI 2019 Emerging Memory and Artificial Intelligence Workshop, 2019-08-29)
We are at the cusp of a new era in AI. Recently deep learning has revolutionised the field of Computer Vision, disrupting more traditional algorithmic approaches to object recognition, scene analysis and image understanding. ...
Privacy challenges for smart-cities: The challenge of IoT camera uberveilance
(IEEE World Forum on Internet of Things, 2019-04-15)
The challenges of handling personal privacy are examined in the context of a smart-city environment with every-present surveillance. The current state of digital camera technology is reviewed and two over-arching approaches ...
Convolutional neural network implementation for eye-gaze estimation on low-quality consumer imaging systems
Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems, such as driver monitoring systems and novel user interfaces. Such systems are required to operate reliably in difficult, ...