Thema
Anticipation Mechanism in Human Attention
Typ Master, Forschungspraxis, Bachelor, Ing.prax.
Betreuer Mikhail Startsev
Tel.: +49 (0)89 289-28550
E-Mail: mikhail.startsev@tum.de
Sachgebiet Human and Computer Vision
Beschreibung The human visual system is a very complicated mechanism, but it is, naturally, imperfect: For instance, we cannot immediately switch our attention (i.e. gaze direction, in this context) to the most important event or object in our field of view as soon as it emerges. For unpredictable events, it typically takes the eyes about 150-250 ms to react and move to the new location.

In natural scenes (and in real life), however, our visual system is much more proactive, i.e. we anticipate certain events before they happen, which gives our eyes enough time to catch the most “salient” part of the action just in time. Similar observations have been made in [1], for example (also, see the figure below: the maximal consistency of saccade landing points with the predicted saliency map is achieved with a slightly negative lag on average).

The project will quantitatively measure this anticipation effect using more recently developed tools and saliency prediction techniques. The candidate will also perform data analysis to determine how different eye movement types effect the anticipatory behaviour.


[1] Vig et al., Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes, 2010, www.gazecom.eu/FILES/ViDoMaBa10b.pdf

Voraussetzung Solid programming skills are desirable, experience with computer vision is a plus.
Bewerbung If you are interested in this topic, we welcome the applications via the email address above. Please set the email subject to “<Type of application> application for topic 'XYZ'”, ex. “Master’s thesis application for topic 'XYZ'”, while clearly specifying why are you interested in the topic in the text of the message. Also make sure to attach your most recent CV (if you have one) and grade report.