Data sets that contain geospatial and temporal elements can be challenging to analyze. In particular, it can be difficult to determine how the data have changed over spatial and t...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...
Discrepancy between CT and PET data due to motion in PET/CT studies is a significant problem. PET is acquired over a period of time whereas CT is static. Thus attenuation correcti...
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Iterative Closest Point (ICP) -based tracking works well when the interframe motion is within the ICP minimum well space. For large interframe motions resulting from a limited sen...
Limin Shang, Piotr Jasiobedzki, Michael A. Greensp...
Monitoring human motion has recently received great attention and can be used in many applications, such as human motion prediction. We present the collected data set from a body ...
Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hol...