Trajectory clustering for behavioral pattern learning in transportation surveillance

Choong, Meiyeen and Chin, Renee Ka Yin and Yeo, Kiam Beng and Teo, Kenneth Tze Kin (2015) Trajectory clustering for behavioral pattern learning in transportation surveillance. In: Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014, 2-5 December 2014, Kota Kinabalu, Sabah.

[img]
Preview
PDF
41Kb

Official URL: http://dx.doi.org/10.1109/ICAIET.2014.41

Abstract

The development of an efficient traffic flow monitoring system has been the main focus for many researchers working in the field. Due to the rapid development in urbanization, the complexity of traffic intersections provides challenges for researchers to detect the underlying traffic scenes. With the emerging video based surveillance system, vehicle trajectory can be extracted for observation and prediction via behavioral pattern learning. Prior to the learning, clustering of the extracted vehicle trajectory data is performed to group the data based on similarity measures. In this paper, the implementation of clustering algorithm on the trajectory data is analyzed and issues concerning the trajectory clustering are discussed.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:traffic surveillance, trajectory clustering, trajectory learning
Subjects:T Technology > TE Highway engineering. Roads and pavements
Divisions:FACULTY > Faculty of Engineering
ID Code:13868
Deposited By:IR Admin
Deposited On:12 Aug 2016 11:20
Last Modified:12 Aug 2016 11:20

Repository Staff Only: item control page


Browse Repository
Collection
   Articles
   Book
   Speeches
   Thesis
   UMS News
Search
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository