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Alla Petrakova. REU 2013 Report 4. Potential Issues. D-Identify potential problems with the method  and summarize how to fix those problems. Why cluster trajectories?. Five desired outcomes: Activity classification or actor identification based on characteristic behavior
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Alla Petrakova REU 2013 Report 4
Potential Issues D-Identify potential problems with the method and summarize how to fix those problems.
Why cluster trajectories? • Five desired outcomes: • Activity classification or actor identification based on characteristic behavior • Abnormality detection • Behavior prediction • Characterization of interaction • Detecting regions of interest
Outstanding Issues of Trajectory Clustering • Handling noise • Adopting to changing environment (online learning, incremental changes to an existing model) • Path decomposition – some small deviations are more important than others
Outstanding Issues for us • Handling overlapping trajectories • Incremental Clustering (Online Learning)
Journals and Conferences E-Identify conference/journal where this kind of paper should be submitted.
Comparisons with other algorithms UCF CRCV Motion Pattern Algorithm vs Other State-of-the-Art algorithms
TRACLASS • Jae-Gil Lee, Jiawei Han, Xiaolei Li, and Hector Gonzalez. 2008. TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering. Proc. VLDB Endow. 1, 1 (August 2008), 1081-1094. (83 citations)
Fu, Hu, Tan Algorithm • Z.Fu, W.Hu, T.Tan, “Similarity Based Vehicle Trajectory Clustering and Anomaly Detection”, in Proc. Intl. Conf. on Image Processing (ICIP’05), vol 2, pp 602-605, 2005 (101 citations). • 2-layer hierarchical clustering • lanes separated during second clustering • spectral clustering