Object flow: A descriptor for classifying traffic motion

  title={Object flow: A descriptor for classifying traffic motion},
  author={Andreas Geiger and Bernd Kitt},
  journal={2010 IEEE Intelligent Vehicles Symposium},
We present and evaluate a novel scene descriptor for classifying urban traffic by object motion. Atomic 3D flow vectors are extracted and compensated for the vehicle's egomotion, using stereo video sequences. Votes cast by each flow vector are accumulated in a bird's eye view histogram grid. Since we are directly using low-level object flow, no prior object detection or tracking is needed. We demonstrate the effectiveness of the proposed descriptor by comparing it to two simpler baselines on… CONTINUE READING
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