Dr.-Ing. Boris Schauerte is a PostDoc of the Computer Vision for Human-Computer Interaction (CVHCI) at the Karlsruhe Institute of Technology and Co-Founder of Eyezag. He received his MSc. (Dipl.-Inform.) from TU Dortmund University, Germany, and his PhD from the Karlsruhe Institute of Technology, Germany. His research interests include computer vision, human-robot interaction and assistive technologies. A substantial part of his work focuses on attentional mechanisms to provide a foundation for robotic multimodal real-time perception. Gaze estimation and eye-tracking have been integral parts of this work and lead him to found Eyezag in 2013. Eyezag offers eye-tracking per webcam as a web-service.

AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI   Info

Public Audience

English

45 Minutes

Saarbrücken

Attention is the cognitive process of selectively concentrating on one thing while ignoring others. As a gateway to later processing steps, efficient and fast attentional allocation is key to rapid processing and understanding of natural scenes and thus predation, escape, and mating - in short, to survival.
Knowing which part of a signal will pass the gatekeeper that we call attention is thus an important aspect for many applications. For example, in robotics, attention models can decrease the computational demands of complex algorithms by focusing them on the potentially most relevant and thus interesting information. In marketing, it is essential that the viewers actually perceive the intended advertisement message. For packaging, it is important that a product package grabs the attention of a shopper, despite the many, well-designed distractors of competitors. Accordingly, early predictions (attention models) and exact knowledge (user studies) of human attention are important assets in such industries.
In this talk, I will focus on some of my recent work on and lessons learned about gaze estimation and attention models at the Karlsruhe Institute of Technology and my eye-tracking spinoff Eyezag.

Andreas Bulling

0681 9325 2128

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