AIC Team

GRF 12201814 Project: Automatic Incident Classification (AIC) for Large-Scale Traffic Data

Period: Oct, 2014 – Mar, 2017

AIC Team Members:

Dr. Henry Y.T. Ngan, HKBU (PI)

Dr. Nelson H.C. Yung, The University of Hong Kong (Co-I)

Dr. Wei Liu, The University of Sheffield, U.K. (Oversea collaborator)

Dr. Lili Wang

Philip Lam

Mathew, Xiao Ma

Taurus, Ting Dang

Candy, Jialing Tang

Carol, Hei Man Wong

Coey, Pui Yi Kok

Sophia, Weitingting Liu

Elva, Wai Ling Tse

Related publications:

  1. L. Wang, H.Y.T. Ngan and N.H.C. Yung, “Automatic Incident Classification for Large-scale Traffic Data by Adaptive Boosting SVM,” arXiv:1512.04392.
  2. J. Tang and H.Y.T. Ngan, “Traffic Outlier Detection by Density-based Bounded Local Outlier Factors,” IT in Industry, vol. 4, no. 1, pp. 6-18, 2016. [Invited for publication]
  3. P. Lam, L. Wang, H.Y.T. Ngan, N.H.C. Yung and A.G.O. Yeh, “Outlier Detection in Large-scale Traffic Data by Naïve Bayes Method and Gaussian Mixture Model Method,” arXiv: 1512.08413.
  4. C.H.M. Wong, H.Y.T. Ngan and N.H.C. Yung, “Modulo-k Clustering based Outlier Detection for Large-scale Traffic Data,” Proc. Int’l Conf. IEEE Information Technology and Application (ICITA), 2016 (oral).
  5. M.X. Ma, H.Y.T. Ngan, W.Liu, “Density-based Outlier Detection Method by Local Outlier Factor on Large-scale Traffic Video Data,” IS&T Electronic Imaging, 2016.  (oral)
  6. L-L. Wang, H.Y.T. Ngan, W. Liu and N.H.C. Yung, “Anomaly Detection for Quaternion-valued Traffic Signals,” Proc. IEEE DICTA, 2016 (Accepted).
  7. T.T. Dang, H.Y.T. Ngan, W.Liu, “Distance-based k-nearest Neighbors Outlier Detection Method in Large-scale Traffic Data,” IEEE Int’l Conf. Digital Signal Processing (DSP), pp. 507-710, 2015. (oral)
  8. H.Y.T. Ngan, N.H.C. Yung and A.G.O. Yeh, “Detection of Outliers in Traffic Data based on Dirichlet Process Mixture Model,”  IET Intelligent Transportation Systems, vol. 9, no. 7, pp. 773-781, 2015.
  9. H.Y.T. Ngan, N.H.C. Yung, and A.G.O. Yeh, “A Comparative Study of Outlier Detection for Large-scale Traffic Data by One-class SVM and Kernel Density Estimation,” IS&T/SPIE Electronic Imaging, 94050I-94050I-10, 2015 . (oral)
  10. H.Y.T. Ngan, N.H.C. Yung, and A.G.O. Yeh, “Modeling of Traffic Data based by Dirichlet Process Mixtures,” 8th IEEE Int’l Conf. Automation Science & Engineering (CASE) 2012, pp. 224-229, 2012. (oral)

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