Open Access
Issue
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
Article Number 01061
Number of page(s) 3
Section Network Security System, Neural Network and Data Information
DOI https://doi.org/10.1051/matecconf/201823201061
Published online 19 November 2018
  1. Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. Neural Information Processing Systems (NIPS), (2015). [Google Scholar]
  2. R. Girshick. Fast R-CNN. In International Conference on Computer Vision (ICCV), (2015). [Google Scholar]
  3. T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Doll´ar, and C. L. Zitnick. Microsoft coco: Common objects in context. In European Conference on Computer Vision, pages 740–755. Springer, (2014) [Google Scholar]
  4. Piotr Dollar, Christian Wojek, Bernt Schiele, and Pietro Perona. Pedestrian detection: An evaluation of the state of the art. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), (2012). [Google Scholar]
  5. Dalal N, Triggs B. Histograms of Oriented Gradients for Human Detection [C] Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE: 886-893, (2005) [Google Scholar]
  6. Y. Ke and R. Sukthankar. “PCA-SIFT: A more distinctive representation for local image descriptors”. CVPR, Washington, DC, USA, 66-75, (2004). [Google Scholar]
  7. S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. volume 0, pages 1–8, Los Alamitos, CA, USA. IEEE Computer Society.1, (2008) [Google Scholar]
  8. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst, 55:119–139, (1997). [CrossRef] [Google Scholar]

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