Title :
A New Scheme for Trajectory Visualization
Author :
Yuejun Guo ; Qing Xu ; Xiu Li ; Xiaoxiao Luo ; Sbert, Mateu
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
Abstract :
This paper proposes a new approach for trajectory clustering and visualization. During clustering, speed and direction are both taken into account as the important properties of a trajectory. Additionally, the temporal change of the trajectories is explicitly considered in the procedure of clustering. Importantly, we introduce the uncertainty to represent the homogeneity of the updating trajectories based on their speed and direction attributes, to help observe and understand the happening of the trajectory data. Finally, based on the use of the HSV color space, we devise three patterns for graphically presenting the trajectory data in different perspectives. Namely, \´H+S\´ visualizes the clustered trajectories emphasizing the speed attribute of them. \´H+S+Update\´ depicts more information on the "latest" trajectory data, compared with the results by \´H+S\´. \´H+V+Update\´ explicitly presents the uncertainty of the trajectory data. Our approach has shown its potential for the effective trajectory analysis.
Keywords :
data visualisation; image colour analysis; pattern clustering; H+S; H+V+Update; HSV color space; data trajectory; trajectory clustering; trajectory visualization; Aircraft; Clustering algorithms; Data visualization; Image color analysis; Trajectory; Uncertainty; Visualization; Trajectory clustering; Trajectory visualization;
Conference_Titel :
Information Visualisation (IV), 2014 18th International Conference on
Conference_Location :
Paris