Publications‎ > ‎2009‎ > ‎

Moving Object Segmentation Using Optical Flow and Depth Information

Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andreas Wedel, Reinhard Klette


Abstract

This 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.


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