Classification and visualization for symbolic people flow data

Onishi, 2012, Universal SAX: applied SAX to the multidimensional time series data using the space filling curve, DBSJ J., 11, 43 Höcker, 2010, Graph-based approaches for simulating pedestrian dynamics in building models, 389 Çetinkaya, 2014, A comparative analysis of geometric graph models for modelling backbone networks, Opt. Switching Networking, 14, 95, 10.1016/j.osn.2014.05.001 Andrienko, 2007, Visual analytics tools for analysis of movement data, ACM SIGKDD Explor. Newsl., 9, 38, 10.1145/1345448.1345455 Andrienko, 2009, Interactive visual clustering of large collections of trajectories, 3 Guo, 2011, Tripvista: Triple perspective visual trajectory analytics and its application on microscopic traffic data at a road intersection, 163 Wang, 2011, Discovery exhibition: visual analysis on traffic trajectory data Krueger, 2013, Trajectorylenses - a set-based filtering and exploration technique for long-term trajectory data, Comput. Graph. Forum, 32, 451, 10.1111/cgf.12132 Wang, 2014, Visual exploration of sparse traffic trajectory data, IEEE Trans. Vis. Comput. Graph., 20, 1813, 10.1109/TVCG.2014.2346746 Lu, 2015, Trajrank: Exploring travel behaviour on a route by trajectory ranking, 311 Mehran, 2010, A streakline representation of flow in crowded scenes, 439 Yabushita, 2011, Summarization and visualization of pedestrian tracking data, 537 Ko, 2013, Rectified trajectory analysis based abnormal loitering detection for video surveillance, 289 Fukute, 2013, A linked visualization of trajectory and flow quantity to support analysis of people flow, 561 Andrienko, 2014, Visualization of trajectory attributes in space-time cube and trajectory wall, 157 Guo, 2014, A new scheme for trajectory visualization, 40 Gupta, 2016, Movementslicer: better gantt charts for visualizing behaviors and meetings in movement data, IEEE Pac. Visual. Symp., 168 Krueger, 2016, Traveldiff: visual comparison analytics for massive movement patterns derived from twitter, IEEE Pac. Visual. Symp., 176 Al-Dohuki, 2017, Semantictraj: a new approach to interacting with massive taxi trajectories, IEEE Trans. Vis. Comput. Graph., 23, 11, 10.1109/TVCG.2016.2598416 Teknomo, 2009, Pedestrian static trajectory analysis of a hypermarket, 7 Thach, 2010, A symbolic representation for trajectory data, Jpn. Soc. Artif. Intell., 1A Oates, 2013, Motif discovory in spatial trajectories using grammar inference, 1465 Yada, 2011, String analysis technique for shopping path in a supermarket, J. Intell. Inf. Syst., 36, 385, 10.1007/s10844-009-0113-8 Onishi, 2008, Dynamic trajectory extraction from stereo vision using fuzzy clustering, Trans. Inst. Electr. Eng. Japan. C, Publ. Electr. Inf. Syst. Soc., 128, 1438 Yarimizu, 2013, “Weighted levenshtein distance” for calculating the distance between words, Meikai Jpn. Lang. J., 179