FOOD REGION DETECTION USING BAG-OF-FEATURES REPRESENTATION AND COLOR FEATURE

Ruiko Miyano, Yuko Uematsu, Hideo Saito

Abstract

Food image processing has recently attracted attention, because many people take photos of food. For food image processing, recognition of captured food is an essential technology, but region detection of the food area from captured photos is also very important procedure for food recognition. In this paper, we propose a novel method for automatic region detection of food from photos using two kinds of features in input image. To detect food regions, we use a method which is widely used in generic object recognition. We divide an image into small subregions and represent each subregion as Bag-of-Features representation using local feature descriptors and color feature. Using two features, we recognize food subregions and finally connect them as food regions. Our experiments show that the proposed method can detect food region in high accuracy.

References

  1. Csurka, G., Dance, C. R., Fan, L., Willamowski, J., and Bray, C. (2004). Visual categorization with bags of keypoints. In Workshop on statistical learning in computer vision, ECCV, volume 1, pages 1-22.
  2. Joutou, T. and Yanai, K. (2009). A food image recognition system with multiple kernel learning. In Proc. of ICIP.
  3. Lampert, C. H., Blaschko, M. B., and Hofmann, T. (2009). Efficient subwindow search: A branch and bound framework for object localization. IEEE Trans. on PAMI, 31(12):2129-2142.
  4. Puri, M., Zhu, Z., Yu, Q., Divakaran, A., and Sawhney, H. S. (2009). Recognition and volume estimation of food intake using a mobile device. In Proc. of WACV, pages 1-8.
  5. Swain, M. J. and Ballard, D. H. (1991). Color indexing. International Journal of Computer Vision, 7(1):11-32.
  6. Viola, P. A. and Jones, M. J. (2004). Robust real-time face detection. International Journal of Computer Vision, 57(2):137-154.
  7. Wei, Y. and Tao, L. (2010). Efficient histogram-based sliding window. In Proc. of CVPR, pages 3003-3010.
  8. Yang, S., Chen, M., Pomerleau, D., and Sukthankar, R. (2010). Food recognition using statistics of pairwise local features. In Proc. of CVPR, pages 2249-2256.
Download


Paper Citation


in Harvard Style

Miyano R., Uematsu Y. and Saito H. (2012). FOOD REGION DETECTION USING BAG-OF-FEATURES REPRESENTATION AND COLOR FEATURE . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 709-713. DOI: 10.5220/0003854507090713


in Bibtex Style

@conference{visapp12,
author={Ruiko Miyano and Yuko Uematsu and Hideo Saito},
title={FOOD REGION DETECTION USING BAG-OF-FEATURES REPRESENTATION AND COLOR FEATURE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={709-713},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003854507090713},
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 - FOOD REGION DETECTION USING BAG-OF-FEATURES REPRESENTATION AND COLOR FEATURE
SN - 978-989-8565-03-7
AU - Miyano R.
AU - Uematsu Y.
AU - Saito H.
PY - 2012
SP - 709
EP - 713
DO - 10.5220/0003854507090713