NDLI: Occlusion Robust Vehicle Tracking based on SOM (Self-Organizing Map)

Content Provider	IEEE Xplore Digital Library
Author	Bevilacqua, Alessandro Stefano, Luigi Di Vaccari, Stefano
Copyright Year	2005
Description	Author affiliation: University of Bologna, Italy (Bevilacqua, Alessandro; Stefano, Luigi Di; Vaccari, Stefano)
Abstract	Traffic monitoring systems based on image and sequence analyses are widely employed in Intelligent Transportation Systems (ITS's) in order to analyze traffic parameters and statistics. To this purpose, tracking objects is often needed. However, occlusions can mislead a vehicle tracking system based on a single camera, thus resulting in tracking errors. In this work we present a vehicle tracking algorithm based on the KLT feature tracker which exploits a Kohonen Self Organizing Map (SOM) to drastically reduce tracking errors arising from occlusions, thus increasing the overall robustness of the system. Our method has been implemented in a real-time traffic monitoring system that has been working on daily urban traffic scenes. The experimental results we present assess the effectiveness of our approach even in the presence of quite congestioned traffic situations.
Starting Page	84
Ending Page	89
File Size	259776
Page Count	6
File Format	PDF
ISBN	0769522718
DOI	10.1109/ACVMOT.2005.87
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-01-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Vehicles Image analysis Image sequence analysis Intelligent transportation systems Condition monitoring Statistical analysis Cameras Karhunen-Loeve transforms Organizing
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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