NDLI: Traffic monitoring with computer vision

Content Provider	IEEE Xplore Digital Library
Author	Kun, A.J. Vamossy, Z.
Copyright Year	2009
Description	Author affiliation: Budapest Tech, John von Neumann Faculty of Informatics, Institute of Software Technology, Hungary (Kun, A.J.; Vamossy, Z.)
Abstract	Nowadays roads and streets are getting overcrowded, especially in bigger cities. Hence the main goal of our project is to build a traffic monitoring system which is able to detect the movement of cars and to track and count the different vehicles by analyzing a camera picture with the help of computer vision. The real-time process (15–30 fps) of the video stream works at daylight. The traffic monitoring includes the followings: it accepts the video from a file or a camera, marks the moving vehicles with rectangles, and counts them. The system consists of three subsystems, these are the: Video Subsystem, Motion Detector Subsystem, Display/Control Subsystem. To maximize the speed of the program, each subsystem runs on different threads. To accept the visual information DirectShow is used, and the image processing is partially done with the DirectCV wrapper [6] for OpenCV. For motion detection, the system uses a Gaussian Mixture Model with background segmentation. There is an opportunity to mask the monitoring area also. With the mask it is possible to filter out for example the sidewalks and the opposite traffic direction so that our system avoids these parts of the image. The mask area can be easily built by placing a sequence of points which are the vertexes of a polygon. To create a polygon from the sequence of points a hybrid algorithm is applied which combines the 2opt heuristic method and a genetic algorithm. Connected component labeling algorithm is used for object detection, which utilizes a decision tree and Union-Find data structure in order to achieve the best performance. Recently we are testing a shadow removal algorithm based on edge detection in order to detect the objects in traffic scenes more accurately.
Starting Page	131
Ending Page	134
File Size	351008
Page Count	4
File Format	PDF
ISBN	9781424438013
DOI	10.1109/SAMI.2009.4956624
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-30
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Tracking Computerized monitoring Image edge detection Roads Vehicle detection Object detection Cities and towns Cameras Motion detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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