In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
This paper introduces the progressive attenuation field (PAF), a method to speed up computation of digitally reconstructed radiograph (DRR) images during intensity-based 2D-3D regi...
Torsten Rohlfing, Daniel B. Russakoff, Joachim Den...
This paper describes a new robust method for calibration of ultrasound probe (2D/3D). Prior to calibration, a position sensor is attached to the probe for tagging each image/volum...
Emad Boctor, Anand Viswanathan, Michael A. Choti, ...
Identifying handled objects, i.e. objects being manipulated by a user, is essential for recognizing the person’s activities. An egocentric camera as worn on the body enjoys many...
We propose a biologically inspired framework for visual tracking based on discriminant center surround saliency. At each frame, discrimination of the target from the background is...