We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
This paper considers a fundamental problem in visual motion perception, namely the problem of egomotion estimation based on visual input. Many of the existing techniques for solvin...
Optical flow is widely in use in the field of image processing. In general, optical flow is computed from luminance images. However, optical flow based on luminance information hi...
Abstract. The dynamic behavior of the cardiac muscle is strongly dependent on heart diseases. Optic flow techniques are essential tools to assess and quantify the contraction of t...
Alessandro Becciu, Hans C. van Assen, Luc Florack,...
Camera motion filtering is important in many applications, such as camera-based visual control interface on a mobile device. In this paper, we first present a robust global motion...