Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Online Hough-Forests

Samuel Schulter, Christian Leistner, Peter M. Roth, Luc Van Gool, and Horst Bischof
british machine vision conference
2011

Abstract

Hough forests have emerged as a powerful and versatile method, which achieves state-of-the-art results on various computer vision applications, ranging from object detection over pose estimation to action recognition. The original method operates in off-line mode, assuming to have access to the entire training set at once. This limits its applicability in domains where data arrives sequentially or when large amounts of data have to be exploited. In these cases, on-line approaches naturally would be beneficial. To this end, we propose an on-line extension of Hough forests, which is based on the principle of letting the trees evolve on-line while the data arrives sequentially, for both classification and regression. We further propose a modified version of off-line Hough forests, which only needs a small subset of the training data for optimization. In the experiments, we show that using these formulations, the classification results of classic Hough forests could be reached or even outperformed, while being orders of magnitudes faster. Furthermore, our method allows for tracking arbitrary objects without requiring any prior knowledge. We present state-of-the-art tracking results on publicly available data sets.


Link to publisher's page
Download in pdf format
@InProceedings{eth_biwi_00899,
  author = {Samuel Schulter and Christian Leistner and Peter M. Roth and Luc Van Gool and and Horst Bischof},
  title = {Online Hough-Forests},
  booktitle = {british machine vision conference},
  year = {2011},
  keywords = {}
}