Efficient rotation invariant object detection using boosted Random Ferns

• Published in: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 1038 - 1045
• Main Authors: Villamizar, Michael, Moreno-Noguer, Francesc, Andrade-Cetto, Juan, Sanfeliu, Alberto
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2010
• Subjects: Classification algorithms; Histograms; Motorcycles; Object detection; Robustness; Runtime; Supervised learning; Testing; Yield estimation

We present a new approach for building an efficient and robust classifier for the two class problem, that localizes objects that may appear in the image under different orientations. In contrast to other works that address this problem using multiple classifiers, each one specialized for a specific...