Open Access
Issue
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
Article Number 02023
Number of page(s) 6
Section 3D Images Reconstruction and Virtual System
DOI https://doi.org/10.1051/matecconf/201823202023
Published online 19 November 2018
  1. B Neto, J Goutsias. Object-based Image Analysis Using Multis-cale Connectivity[J]. IEEE Transactions on Pattern and Machine Intelligence, 27, 6(2005). [Google Scholar]
  2. V Rene, A Ravichandran. Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures[C]//Proceedings of 2005 IEEE Computer Conference on Computer Vision and Pattern Recognition[S. 1.]: IEEE Press, (2005). [Google Scholar]
  3. Zhang Jie-yu, Barron J L. Optical flow at occlusion[C]//The Ninth Conference on Computer and Robot Vision, Toronto, Canada, (2012). [Google Scholar]
  4. E Herrero, C Orrite, J Senar. Detected Motion Classification with a Double Background and a Neighborhood-based Difference[J]. Pattern Recognition Letters, 24, 12(2003). [Google Scholar]
  5. C Stauffer, WEL Grimson. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 8(2000). [CrossRef] [Google Scholar]
  6. Qu Jingjing, Xin Yunhong. Combined continuous frame difference with background differnece method for moving object detection[J]. Journal of Photonics, 43, 7(2014). [Google Scholar]
  7. Yu Le. Pedestrian detection in monitoring system based on gaussian mixture model[J]. Industrial Control Computer, 31, 1(2018). [Google Scholar]
  8. Kang Jie, Li Xiaojing. Moving object detection based on mean background and three frame difference[J]. Journal of Shaanxi University of Science & Technology, 36, 1(2018). [Google Scholar]
  9. Zhu Guangze. Research of coal mine video monitoring system based on target detection and tracking[D]. Liaoning University of Engineering and Technology, (2013). [Google Scholar]
  10. Meng Xiaoyan. Research on detection and tracking algorithm of downhole personnel target[D]. Taiyuan University of Science & Technology, (2015). [Google Scholar]
  11. Mao Xingyun, Leng Xuefei, Wang Bihui, etc. Getting started with OpenCV3 programming[M]. (Beijing: Electronic Industry Press, 2016). [Google Scholar]
  12. Wang Jianxun. Video human detection Research based on gaussian mixture model[D]. Huazhong University of Science and Technology, (2013). [Google Scholar]
  13. C.H. Huang, R.C. Wu. An Online Learning Method for Shadow Detection[C]. Fourth Pacific-Rim Symposium on Image and Video Technology, (2010). [Google Scholar]

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