Open Access
Issue
MATEC Web Conf.
Volume 152, 2018
9th Eureca 2017 International Engineering Research Conference
Article Number 03001
Number of page(s) 10
Section Electrical & Electronic Engineering
DOI https://doi.org/10.1051/matecconf/201815203001
Published online 26 February 2018
  1. Y. Cai, H. Wang, X. Chen, and L. Chen, “Multilevel framework to handle object occlusions for real-time tracking,” pp. 1–8, 2016. [Google Scholar]
  2. Pylyshyn, Z. (2007). Multiple object tracking. http://www.scholarpedia.org/article/Multiple_object_tracking. [online] Scholarpedia. Available at: [Accessed 26 Oct. 2017] [Google Scholar]
  3. P. Ding and Y. Song, “Robust Object Tracking using Color and Depth Images with a Depth based Occlusion Handling and Recovery,” pp. 930–935, 2015. [Google Scholar]
  4. I. Engineering and S. Province, “Variable Scale and Anti-occlusion Object Tracking Method with Multiple Feature Integration,” pp. 426–433, 2016. [Google Scholar]
  5. W. Luo, J. Xing, X. Zhang, X. Zhao, and T.-K. Kim, “Multiple Object Tracking: A Literature Review,” http//arxiv.org/abs/1409.7618, arXiv, 1-39. Retrieved from vol. V, no. 212, 2014. [Google Scholar]
  6. M. Intelligence, Q. Zhao, W. Tian, Q. Zhang, and J. Wei, “Robust object tracking method dealing with occlusion,” 2016. [Google Scholar]
  7. Z. M. Shehzad et al., Muhammad Imran, Yasir A. Shah, “K-means based multiple objects tracking with long-term occlusion handling,” 2016. [Google Scholar]

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