An active landslide in Doren, Austria, has been studied by multitemporal airborne and
terrestrial laser scanning from 2003 to 2012. To evaluate the changes, we have determined …

This paper investigates motion estimation and segmentation of independently moving
objects in video sequences that contain depth and intensity information, such as videos …

We present a novel approach for segmenting different motions from 3D trajectories. Our
approach uses the theory of transformation groups to derive a set of invariants of 3D points …

Time-of-flight range imaging systems typically require several raw image frames to produce
one range, or depth, image. The problem of motion blur in traditional imaging is …

This paper discusses MAC-REALM, a framework for extraction of syntactic and semantic
content features and content modelling with either little or no user interaction. The framework …

Time-of-flight range imaging is analyzed using stochastic calculus. Through a series of
interpretations and simplifications, the stochastic model leads to two methods for estimating …

Segmenting a moving foreground (fg) from its background (bg) is a fundamental step in
many Machine Vision and Computer Graphics applications. Nevertheless, hardly any …

In this paper we investigate the determination of camera relative orientation in videos from
time of flight (ToF) range imaging camera. The task of estimating the relative orientation is …

Optical flow computation is one of the oldest and most active research fields in computer
vision and image processing. It encompasses the following areas: motion estimation, video …

Crowded motions refer to multiple objects moving around and interacting such as crowds,
pedestrians and etc. We capture crowded scenes using a depth scanner at video frame …