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Detecting zebra crossings utilizing AdaBoost
2008
The European Symposium on Artificial Neural Networks
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This paper introduces a visual zebra crossing detector based on the Viola-Jones approach. The basic properties of this cascaded classifier and the use of integral images are explained. Additional pre-and postprocessing for this task are introduced and evaluated.
dblp:conf/esann/LausserSP08
fatcat:wv4zp2d4f5d43edmylvb2uv5ly