NDLI: Clustering Vehicle Trajectories with Hidden Markov Models Application to Automated Traffic Safety Analysis

Content Provider	IEEE Xplore Digital Library
Author	Saunier, N. Sayed, T.
Copyright Year	2006
Description	Author affiliation: Departement of Civil Engineering, University of British Columbia 6250 Applied Science Lane, Vancouver BC V6T1Z4, Canada. phone: 1-604-221-4787; fax: 1-604-822-6901; email: saunier@civil.ubc.ca (Saunier, N.)
Abstract	The importance of reducing the social and economic costs associated with traffic collisions can not be over-stated. The first goal of this research is to develop a method for automated road safety analysis using video sensors in order to address the problem of a dependency on the deteriorating collision data. The method will automate the extraction of traffic conflicts (near misses) from video sensor data. To our knowledge, there is limited research primarily applied to traffic conflicts. In this paper a method based on the clustering of vehicle trajectories is presented. The clustering uses a k-means approach with hidden Markov models and a simple heuristic to find the number of clusters automatically. Traffic conflicts can then be detected by identifying and adapting pairs of models of conflicting trajectories. The technique is demonstrated on real world video sequences of traffic conflicts.
Starting Page	4132
Ending Page	4138
File Size	402547
Page Count	7
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.246960
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicle safety Hidden Markov models Traffic control Road accidents Road safety Vehicle detection Telecommunication traffic Vehicles Monitoring Costs
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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