Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andreas Wedel, Reinhard KletteAbstractThis paper discusses the detection of
moving objects (being a crucial part of driver assistance systems) using
monocular or stereoscopic computer vision. In both cases, object
detection is based on motion analysis of individually tracked image
points (optical flow), providing a motion metric which corresponds to
the likelihood that the tracked point is moving. Based on this metric,
points are segmented into objects by employing a globally optimal
graph-cut algorithm. Both approaches are comparatively evaluated using
real-world vehicle image sequences. [Download] [View] [BibTeX] |
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