We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
— Almost everyone has experienced fear at least once in their life because of a test. Fear can positively mobilise students, when it is under control. However, when fear becomes ...
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
In this paper a dynamic perspective on concepts for intelligent agents is propagated. The discussion on the nature of concepts can be simplified to a dichotomy between objective/...