Real-Time Motion Estimation and Visualization on Graphics Cards

We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatiotemporal structure tensor at every pixel location. This approach is computationally demanding but allows reliable velocity estimates as well as quality indicators for the obtained results. We use a 2D color map and a region of interest selector for the visualization of the velocities. On the selected velocities we apply a hierarchical smoothing scheme which allows the choice of the desired scale of the motion field. We demonstrate several examples of test sequences in which some persons are moving with different velocities than others. These persons are visually marked in the real-time display of the image sequence. The tool is also applied to angiography sequences to emphasize the blood flow and its distribution. An efficient processing of the data streams is achieved by mapping the operations onto the stream architecture of stan...

• Type: Conference
• Year: 2004
• Where: VIS
• Authors: Christoph S. Garbe, Robert Strzodka
• Keywords: Hierarchical Smoothing Scheme, Real-time Visualization, Spatiotemporal Structure Tensor, VIS 2004, Visualization