Dr. Hanhe Lin

Research Interests

  • Video quality assessment
  • Machine learning
  • Computer vision
  • Anomaly detection
                                                                                                                                                                                   

Vita

since 10/2016Postdoctoral Researcher, Department of Computer and Information Science, University of Konstanz
07/2012 - 09/2016Doctoral Student, Department of Information Science, University of Otago
09/2008 - 06/2012Master-PhD Program, School of Computer Science, Sichuan University

Project and Teaching

Earlier Publications

  • Hanhe Lin. "Crowd Scene Analysis in Video Surveillance". PhD thesis. 
  • Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, and Ahmad Shahi. "Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance." In Proceedings of the 2016 ACM on Multimedia Conference (MM'16). ACM, New York, NY, USA, 536-540.
  • Hanhe Lin, Jeremiah D. Deng, and Brendon J. Woodford. "Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine." Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer International Publishing, 2016. Matlab code
  • Hanhe Lin, Jeremiah D. Deng, and Brendon J. Woodford. "Anomaly detection in crowd scenes via online adaptive one-class support vector machines." Image Processing (ICIP), 2015 IEEE International Conference on. IEEE, 2015. Matlab code