Abstract. Analyzing the crowd dynamics from video sequences is an open challenge in computer vision. Under a high crowd density assumption, we characterize the dynamics of the crow...
We present a novel algorithm for improving the accuracy of structure from motion on video sequences. Its goal is to efficiently recover scene structure and camera pose by using dyn...
Jonathan Mooser, Suya You, Ulrich Neumann, Raphael...
The three-dimensional discrete cosine transform (3D DCT) has been proposed as an alternative to motion-compensated transform coding for video content. However, so far no definiti...
In this paper we present a low-complexity traffic prioritization strategy for video transmission using the H.264 scalable video coding (SVC) standard over 802.11e wireless networ...
This paper is concerned with accuracy estimation of point trajectories in video sequences without ground truth information. This is an essential problem for many computer vision a...
This paper presents a method for rectifying video sequences from rolling shutter (RS) cameras. In contrast to previous RS rectification attempts we model distortions as being cau...
In many real applications traditional superresolution methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of input low-resolution ...
Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extract...
This paper proposes a method for analyzing and synthesizing video sequences, specifically suited for image sequences of natural phenomena. We combine a low-dimensional representat...
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance ...