Accurate and high density estimation of optical flow vectors in an image sequence is accomplished by a method that estimates the velocity distribution function for small overlappi...
An image sequence is a series of interrelated images. To enable navigation of large image sequences, many current software packages display small versions of the images, called th...
Oliver Kuederle, Kori Inkpen, M. Stella Atkins, M....
In this paper, we present a method based on tangent distance to estimate motion in image sequences. Tangent distance combines an intuitive understanding and effective modeling of ...
Abstract. Applying real-time segmentation is a major issue when processing every frame of image sequences. In this paper, we propose a modification of the well known graph-cut algo...
Tobi Vaudrey, Daniel Gruber, Andreas Wedel, Jens K...
Abstract. Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction. Faces are the natur...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
This paper describes a framework which exploits the use of computer animation to evaluate the performance of tracking algorithms. This can be achieved in two different, complementa...
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Coronary angiography has become an important tool in modern medicine by providing an additional modality for heart disease diagnostics. Even though the recorded images (or image s...
Istvan Nagy, Alois Knoll, Robert Bauernschmitt, Ev...