HETEROGENEOUS ADABOOST WITH REAL-TIME CONSTRAINTS - Application to the Detection of Pedestrians by Stereovision

Loïc Jourdheuil, Nicolas Allezard, Thierry Chateau, Thierry Chesnais

Abstract

This paper presents a learning based method for pedestrians detection, combining appearance and depth map descriptors. Recent works have presented the added value of this combination. We propose two contributions: 1) a comparative study of various depth descriptors including a fast descriptor based on average depth in a sub-window of the tested area and 2) an adaptation of the Adaboost algorithm in order to handle heterogeneous descriptors in terms of computational cost. Our goal is to build a detector balancing detection rate and execution time. We show the relevance of the proposed algorithm on real video data.

References

  1. Begard, J., Allezard, N., and Sayd, P. (2008). Real-time human detection in urban scenes: Local descriptors and classifiers selection with adaboost-like algorithms. In Computer Vision and Pattern Recognition Workshops, 2008. CVPRW 7808. IEEE Computer Society Conference on, pages 1-8.
  2. Dalal, N. and Triggs, B. (2005). Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, volume 1, pages 886- 893.
  3. Dalal, N., Triggs, B., and Schmid, C. (2006). Human detection using oriented histograms of flow and appearance. In In European Conference on Computer Vision. Springer.
  4. Enzweiler, M. and Gavrila, D. (2011). A multilevel mixture-of-experts framework for pedestrian classification. Image Processing, 20(10):2967-2979.
  5. Ess, A., Leibe, B., Schindler, K., , and van Gool, L. (2008). A mobile vision system for robust multi-person tracking. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08). IEEE Press.
  6. Freund, Y. and Schapire, R. E. (1999). A short introduction to boosting. Journal of Japanese Society for Artificial Intelligence, 14(5):771-780.
  7. Friedman, J., Hastie, T., and Tibshirani, R. (1998). Additive logistic regression: a statistical view of boosting. Statistics, Stanford University Technical Report.
  8. Tuzel, O., Porikli, F., and Meer, P. (2008). Pedestrian detection via classification on riemannian manifolds. Transactions on Pattern Analysis and Machine Intelligence, 30:1713-1727.
  9. Viola, P. and Jones, M. (2001). Rapid object detection using a boosted cascade of simple features. Computer Vision and Pattern Recognition.
  10. Walk, S., Schindler, K., and Schiele, B. (2010). Disparity statistics for pedestrian detection: Combining appearance, motion and stereo. ECCV, pages 182-195.
  11. Wojek, C., Walk, S., and Schiele, B. (2009). Multi-cue onboard pedestrian detection. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 794-801.
  12. Yoa, J. and Odobez, J. (2008). Fast human detection from videos using covariance features. In 8th European Conference on Computer Vision Visual Surveillance workshop, Marseille.
Download


Paper Citation


in Harvard Style

Jourdheuil L., Allezard N., Chateau T. and Chesnais T. (2012). HETEROGENEOUS ADABOOST WITH REAL-TIME CONSTRAINTS - Application to the Detection of Pedestrians by Stereovision . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 539-546. DOI: 10.5220/0003858305390546


in Bibtex Style

@conference{visapp12,
author={Loïc Jourdheuil and Nicolas Allezard and Thierry Chateau and Thierry Chesnais},
title={HETEROGENEOUS ADABOOST WITH REAL-TIME CONSTRAINTS - Application to the Detection of Pedestrians by Stereovision},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={539-546},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003858305390546},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - HETEROGENEOUS ADABOOST WITH REAL-TIME CONSTRAINTS - Application to the Detection of Pedestrians by Stereovision
SN - 978-989-8565-03-7
AU - Jourdheuil L.
AU - Allezard N.
AU - Chateau T.
AU - Chesnais T.
PY - 2012
SP - 539
EP - 546
DO - 10.5220/0003858305390546