Object Detection with Pixel Intensity Comparisons Organized in Decision Trees

20 May 2013Nenad MarkušMiroslav FrljakIgor S. PandžićJörgen AhlbergRobert Forchheimer

We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors. The trees use pixel intensity comparisons in their internal nodes and this makes them able to process image regions very fast... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.