A new method for tracking outer lip contours of individuals in real world conditions is presented. For an arbitrary speaker, lip color properties are learned for the Bayes decision from the current image frame using the nose tip location as a reference point. Estimated outer contour data is fit to an ellipsoid for further eliminating the effect of outliers in the contour. The algorithm, which i...

Internet advertising and analytics technology companies are increasingly trying to find ways to link behavior across the various devices consumers own. This cross-device tracking can provide a more complete view into a consumer’s behavior and can be valuable for a range of purposes, including ad targeting, research, and conversion attribution. However, consumers may not be aware of how and how ...

A key component of cognitive radar is the ability to generalize , or achieve consistent performance across a range sensing environments, since aspects physical scene may vary over time. This presents challenge for learning-based waveform selection approaches, transmission policies which are eff...

Tracking algorithms for arbitrary objects are widely researched in the field of computer vision. At the beginning, an initialized bounding box is given as the input. After that, the algorithms are required to track the objective in the later frames on-the-fly. Tracking-by-detection is one of the main research branches of online tracking. However, there still exist two issues in order to improve...

Language use in conversation is fundamentally incremental, and is guided by the representations that interlocutors maintain of each other’s knowledge and beliefs. While there is a consensus that interlocutors represent the perspective of others, three candidate models, a Perspective-Adjustment model, an Anticipation-Integration model, and a Constraint-Based model, make conflicting predictions a...

The accuracy of a user model typically depends on the amount and quality of information available on the user’s states on interest. An eye-tracker provides data indicating where a user is looking during interaction with the system. In this thesis we present research on the use of eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an open learnin...

Nowadays, eye tracking is the most used technology to detect areas of interest. This kind of technology requires specialized equipment recording user’s eyes. In this paper, we propose SneakPeek, a different approach to detect areas of interest on images displayed in web pages based on the zooming and panning actions of the users through the image. We have validated our proposed solution with a ...