Author(s)

Nanping Mao, Yuan Ling, Yan Su, Qiang Wang, Xiaodong Sun, Xudong Zhang, Lanhui Zeng, Guoqing Liu, Haoming Cui

Corresponding Author

Nanping Mao

Abstract

The popularity of intelligent devices have promoted the growth of spatiotemporal trajectory data. How to update the rules of residence point cluster, path rule and classifier used in motion pattern recognition with the increase of data volume is an important research content. In this paper, an online motion pattern recognition algorithm for moving objects considering the characteristics of stay points and a parallel online motion pattern recognition algorithm for moving objects considering the characteristics of stay points are proposed. Experiments were conducted using Geolife data provided by Microsoft research and the results were analyzed.

Keywords

Transportation modes detection; stay point; trajectory classification