We demonstrate a system built using probabilistic techniques that allows for remarkably accurate localization across our entire office building using nothing more than the built-...
Andreas Haeberlen, Eliot Flannery, Andrew M. Ladd,...
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Abstract: One of the basic tasks of automotive collision avoidance and collision mitigation systems is the robust and reliable detection of objects as well as the prediction of fut...
Norman Mattern, Robin Schubert, Christian Adam, Ge...
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
An integral part of every augmented reality system is the calibration between camera and camera-mounted tracking markers. Accuracy and robustness of the AR overlay process is grea...