Abstract:
This paper discusses the detection of moving objects (being
a crucial part of driver assistance systems) using monocular or stereo-
scopic computer vision. In both cases, object detection is based on motion
analysis of individually tracked image points (optical
ow), 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.
Description:
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