Detecting zebra crossings utilizing AdaBoost

Ludwig Lausser, Friedhelm Schwenker, Günther Palm
2008 The European Symposium on Artificial Neural Networks  
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