EXPERIMENTS ON FACIAL CLASSIFICATION IN LOW LIGHT CONDITIONS

Peter Paul, Yuheng Wang

Abstract

Robustness of SNoW based face detection using local SMQT features to low light conditions is examined through experimental investigation. Low light conditions are emulated by varying camera aperture and camera exposure time to a xenon flash device in night time conditions. For face detection in the context of vehicle occupancy detection, it was found that reducing the illumination to 25% of that required for a properly exposed image to a human observer resulted in a reduction in face classification score that did not significantly reduce classification performance.

References

  1. Birch, P. M., Young, R. C. D., Claret-Tournier, F., Chatwin, C. R., 2004. Automated vehicle occupancy monitoring. Optical Engineering 43(8), pp. 1828- 1832.
  2. Billheimer, J., Kaylor, K., Shade, C., 1990. Use of videotape in HOV lane surveillance and enforcement. Technical Report, U.S. Department of Transportation.
  3. Hao, X., Chen, H., Yao, C., Yang, N., Bi, H., Wang, C., 2010. A near-infrared imaging method for capturing the interior of a vehicle through windshield. IEEE SSIAI 2010, pp. 109-112.
  4. Nilsson, M., Nordberg, J., Claesson, I., 2007. Face Detection using local SMQT Features and Split Up SNoW Classifier, IEEE Int. Conference on Acoustics, Speech, and Signal Processing, Vol. 2, pp. 589-592.
  5. Viola, P., Jones, M. J., 2004. Robust Real-Time Face Detection. Int. Journal of Computer Vision 57(2), pp 137-154.
  6. Wood, J. W., Gimmestad, G. G., Roberts, D. W., 2003. Covert Camera for Screening of Vehicle Interiors and HOV Enforcement. Proc. SPIE - The International Society for Optical Engineering, vol. 5071, pp. 411- 420.
  7. Yang, M.-H., Roth, D., Ahuja, 2000, N., A. SNoW-Based Face Detector. Advances in Neural Information Processing Systems 12, S. A. Solla, T. K. Leen, and K.-R. Muller, eds., pp. 855-861. MIT Press.
Download


Paper Citation


in Harvard Style

Paul P. and Wang Y. (2012). EXPERIMENTS ON FACIAL CLASSIFICATION IN LOW LIGHT CONDITIONS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 738-741. DOI: 10.5220/0003871207380741


in Bibtex Style

@conference{visapp12,
author={Peter Paul and Yuheng Wang},
title={EXPERIMENTS ON FACIAL CLASSIFICATION IN LOW LIGHT CONDITIONS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={738-741},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003871207380741},
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 - EXPERIMENTS ON FACIAL CLASSIFICATION IN LOW LIGHT CONDITIONS
SN - 978-989-8565-03-7
AU - Paul P.
AU - Wang Y.
PY - 2012
SP - 738
EP - 741
DO - 10.5220/0003871207380741