NDLI: Video-based traffic monitoring at day and night vehicle features detection tracking

Content Provider	IEEE Xplore Digital Library
Author	Robert, K.
Copyright Year	2009
Description	Author affiliation: Smart Transport and Road - Sensors and Surveillance, NICTA (National ICT Australia), Sydney, NSW Australia (Robert, K.)
Abstract	Due to the recent progress in computer vision to interpret images and sequence of images, the video camera is a promising sensor for traffic monitoring and traffic surveillance at low cost. This paper focuses on the detection and tracking of multiple vehicles present in the field of view of a camera. Until now, the vehicle detection has been mainly performed by the widely used technique called background subtraction, which is based on detecting changes in an image sequence. While there has been long research on this technique, it still faces many challenges. We present in this paper a new framework to detect vehicles, based on a hierarchy of features detection and fusion. The first layer of the hierarchy extract image features. The next layer fuses image features to detect vehicle features such as headlights or windshields. A last layer fuses the vehicle features to detect a vehicle with more confidence. This approach is thus road illumination agnostic and allows vehicles to be detected day and night. The vehicle features are tracked over frames. We use a constant acceleration tracking model augmented with traffic-domain rules to handle the occlusions challenges.
Starting Page	1
Ending Page	6
File Size	525778
Page Count	6
File Format	PDF
ISBN	9781424455195
DOI	10.1109/ITSC.2009.5309837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicle detection Computer vision Computerized monitoring Cameras Vehicles Fuses Image sensors Surveillance Costs Image sequences vehicle appearance Traffic Monitoring multiple vehicle detection multiple vehicle tracking computer vision hierarchical feature-based vehicle detection headlights windshields machine learning
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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