We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Successful Unmanned Ground Vehicle (UGV) navigation in urban areas requires the competence of the vehicle to cope with Global Positioning System (GPS) outages and/or unreliable po...
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
In this paper, we present a global approach for constructing high dynamic range mosaics from multiple images with large exposure differences. To minimize registration errors caused...
We propose a novel method for fully automated segmentation and tracking of the myocardium and left and right ventricles (LV and RV) using 4D MR images. The method uses non-rigid re...
Daniel Rueckert, Gerardo I. Sanchez-Ortiz, Maria L...