DOI QR코드

DOI QR Code

Robust Detection of Body Areas Using an Adaboost Algorithm

에이다부스트 알고리즘을 이용한 인체 영역의 강인한 검출

  • Jang, Seok-Woo (Department of Digital Media, Anyang University) ;
  • Byun, Siwoo (Department of Digital Media, Anyang University)
  • 장석우 (안양대학교 디지털미디어학과) ;
  • 변시우 (안양대학교 디지털미디어학과)
  • Received : 2016.09.22
  • Accepted : 2016.11.10
  • Published : 2016.11.30

Abstract

Recently, harmful content (such as images and photos of nudes) has been widely distributed. Therefore, there have been various studies to detect and filter out such harmful image content. In this paper, we propose a new method using Haar-like features and an AdaBoost algorithm for robustly extracting navel areas in a color image. The suggested algorithm first detects the human nipples through color information, and obtains candidate navel areas with positional information from the extracted nipple areas. The method then selects real navel regions based on filtering using Haar-like features and an AdaBoost algorithm. Experimental results show that the suggested algorithm detects navel areas in color images 1.6 percent more robustly than an existing method. We expect that the suggested navel detection algorithm will be usefully utilized in many application areas related to 2D or 3D harmful content detection and filtering.

Keywords

Adaboost algorithm;Learning;Feature extraction;Detection accuracy;Binarization

References

  1. A. Yousafzai, V. Chang, A. Gani, and R. M. Noor, "Multimedia Augmented m-Learning: Issues, Trends and Open Challenges," International Journal of Information Management, vol. 36, no. 5, pp. 784-792, Oct. 2016. DOI: http://dx.doi.org/10.1016/j.ijinfomgt.2016.05.010 https://doi.org/10.1016/j.ijinfomgt.2016.05.010
  2. X. L. Liu, W. Hu, C. Luo, and F. Wu, "Compressive Image Broadcasting in MIMO Systems with Receiver Antenna Heterogeneity," Signal Processing: Image Communication, vol. 29, no. 3, pp. 361-374, Mar. 2014. DOI: http://dx.doi.org/10.1016/j.image.2014.01.005 https://doi.org/10.1016/j.image.2014.01.005
  3. K. J. Kim, J. S. Kim, K.J. Lim, “Analysis of Research for Smartphone Use by Infants,” Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 6, No. 6, pp. 423-432, June 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.06.15
  4. Sae-Ron Han, Jae-Su Lee, Young-Ki Hong, Gook-Hwan Kim, Sung-Ki Kim, Sang-Cheol Kim, “Development of Virtual Ambient Weather Measurement System for the Smart Greenhous,” Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 5, No. 5, pp. 471-479, Oct. 2015. DOI: http://dx.doi.org/10.14257/AJMAHS.2015.10.50 https://doi.org/10.14257/AJMAHS.2015.10.50
  5. W. W. Huh, “a Study on Personas techniques used about smartphones of the New Silver Generation,” Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 6, No. 9, pp. 1-9, Sep. 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.09.01
  6. J.-S. Yoon, G.-Y. Kim, and H.-I. Choi, "Development of an Adult Image Classifier Using Skin Color," Journal of the Korea Contents Association, vol. 9, no. 4, pp. 1-11, 2009. DOI: http://dx.doi.org/10.5392/JKCA.2009.9.4.001 https://doi.org/10.5392/JKCA.2009.9.4.001
  7. J.-Y Park, S.-S. Park, Y.-G. Shin, and D.-S. Jang, "A Novel System for Detecting Adult Images on the Internet," KSII Transactions on Internet and Information Systems, Vvol. 4, no. 5, pp. 910-924, Oct. 2010. DOI: http://dx.doi.org/10.3837/tiis.2010.10.012 https://doi.org/10.3837/tiis.2010.10.012
  8. J.-L. Shih, C.-H. Lee, and C.-S. Yang, "An Adult Images Identification System Employing Image Retrieval Technique," Pattern Recognition Letters, vol. 28, no. 16, pp. 2367-2374, Dec. 2007. DOI: http://dx.doi.org/10.1016/j.patrec.2007.08.002 https://doi.org/10.1016/j.patrec.2007.08.002
  9. S.-W. Jang and G.-Y. Kim, "Learning-Based Detection of Harmful Data in Mobile Devices," Mobile Information Systems, Hindawi, Article ID: 3919134, pp. 1-8, Apr. 2016. DOI: http://dx.doi.org/10.1155/2016/3919134 https://doi.org/10.1155/2016/3919134
  10. K.-M. Lee, "Component-based Face Detection and Verification," Pattern Recognition Letters, vol. 29, pp. 200-214, 2008. DOI: http://dx.doi.org/10.1016/j.patrec.2007.09.013 https://doi.org/10.1016/j.patrec.2007.09.013
  11. C. Gao, P. Li, Y. Zhang, J. Liu, L. Wang, "People Counting Based on Head Detection Combining Adaboost and CNN in Crowded Surveillance Environment," Neurocomputing, vol. 208, pp. 108-116, Oct. 2016. DOI: http://dx.doi.org/10.1016/j.neucom.2016.01.097 https://doi.org/10.1016/j.neucom.2016.01.097
  12. A. Mohamed, A. Issam, B. Mohamed, and B. Abdellatif, "Real-Time Detection of Vehicles Using the Haar-like Features and Artificial Neuron Networks," Procedia Computer Science, vol. 73, pp. 24-31, 2015. DOI: http://dx.doi.org/10.1016/j.procs.2015.12.045 https://doi.org/10.1016/j.procs.2015.12.044
  13. C. Chai and Y. Wang, "Face Detection Based on Extended Haar-like Features," In Proc. of the Second International Conference on Mechanical and Electronics Engineering (ICMEE), vol. 1, pp. 442-445, Aug. 2010. DOI: http://dx.doi.org/10.1109/icmee.2010.5558512 https://doi.org/10.1109/icmee.2010.5558512
  14. Y.-J. Park, S.-H. Weon, J.-K. Sung, H.-I. Choi and G.-Y. Kim, "Identification of Adult Images through Detection of the Breast Contour and Nipple," Information-An International Interdisciplinary Journal, vol. 15, no. 7, pp. 2643-2652, July 2012.
  15. Dong-hyeok Lee, Nam-je Park, “Smart Grid Privacy Protection Measures According to the Change of IT Paradigm,” Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 6, No. 3, pp. 81-90, Mar. 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.03.30
  16. J. W. Hong, S. B. Park, K. Y. Ohk, “The Moderating Effects of Innovativeness and Absorptive Capacity Between Personal Information Protection Attitude and Mobile Banking Acceptance,” Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 6, No. 6, pp. 31-40, June 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.06.31
  17. H. S. Lee, Personal chracteristics and Information privacy Concerns, Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 6, No. 9, pp. 267-276, Sep. 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.09.46
  18. S.-W. Jang, Y.-J. Park, G.-Y. Kim, H.-I. Choi, and M.-C. Hong, "An Adult Image Identification System Based on Robust Skin Segmentation," Journal of Imaging Science and Technology, vol. 55. no. 2, pp. 020508-1-10, Mar. 2011. DOI: https://doi.org/10.2352/J.ImagingSci.Technol.2011.55.2.020508 https://doi.org/10.2352/J.ImagingSci.Technol.2011.55.2.020508