Summarization and Visualization of Pedestrian Tracking Data

We present a summarization and visualization technique for large-scale traffic path data. The research aims to visually distinguish the amount of similar traffic, by representing the similar traffic as bundles of lines. Our technique firstly quantizes the collection of paths, then categorizes the segmented paths, and finally renders the bundles of the segments. Our implementation also provides a graphical user interface (GUI) that allows users to interactively explore the various types of data, so that they can adjust the degree of summarization by controlling parameters in the GUI. The technique can visualize various kinds of path data recorded as chronologically ordered positions which form sequential segments, acquired from movies, sensors, and computer simulations. One of the features of the technique is that it can effectively visualize paths in the place where there are not expressly constructed ways. This paper demonstrates the effectiveness of the technique by applying it to two types of path data, where one is acquired by Radio Frequency Mentification (RFID) sensors, and the other is extracted from a movie.