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.
Official URL: http://dx.doi.org/10.1109/ICAIET.2014.41
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|
|Deposited By:||IR Admin|
|Deposited On:||12 Aug 2016 11:20|
|Last Modified:||12 Aug 2016 11:20|
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