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Road traffic model using distributed camera network

Authors:

Santanu Chaudhury,

Asok BhattacharyyaAuthors Info & Claims

ICVGIP '10: Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing

Pages 132 - 139

https://doi.org/10.1145/1924559.1924577

Published: 12 December 2010 Publication History

Abstract

Traffic monitoring/prediction using a distributed camera network is presented in this paper. The activities on each road link are monitored and features are derived to identify the pattern. Then it is learnt, classified, predicted and communicated to neighboring road links. We used GMM-EM based classification and HMM based prediction. Optimum path is determined by assigning proportional weights to the predicted states of the connected road links. The proposed method is neither based on tracking nor on vehicle detection. Apart from this the method is flexible, adaptive, robust and computationally light. Unlike the existing methods it does not assume or draws analogies of traffic moving as particles, neither does it impose restriction on road conditions or road tributaries and distributaries. The model is validated using traffic simulator and tested on real road network.

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Cited By

Zhognchuan Zhang Cohen F(2013)3D pedestrian tracking based on overhead cameras2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)10.1109/ICDSC.2013.6778235(1-6)Online publication date: Oct-2013
https://doi.org/10.1109/ICDSC.2013.6778235
Nur KHasan MSaha P(2012)An automated urban traffic control system for heavy traffic congestion2012 7th International Conference on Electrical and Computer Engineering10.1109/ICECE.2012.6471585(454-457)Online publication date: Dec-2012
https://doi.org/10.1109/ICECE.2012.6471585

Index Terms

Road traffic model using distributed camera network

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Information

Published In

cover image ACM Other conferences

ICVGIP '10: Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing

December 2010

533 pages

ISBN:9781450300605

DOI:10.1145/1924559

General Chairs:
Rama Chellappa
University of Maryland
,
Padmanabhan Anandan
Microsoft Research, India
,
Program Chairs:
A. N. Rajagopalan
Indian Institute of Technology Madras, India
,
P. J. Narayanan
International Institute of Information Technology Hyderabad, India
,
Philip Torr
Oxford Brookes University, UK

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 December 2010

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ICVGIP '10

ICVGIP '10: Seventh Indian Conference on Computer Vision, Graphics and Image Processing

December 12 - 15, 2010

Chennai, India

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Cited By

Zhognchuan Zhang Cohen F(2013)3D pedestrian tracking based on overhead cameras2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)10.1109/ICDSC.2013.6778235(1-6)Online publication date: Oct-2013
https://doi.org/10.1109/ICDSC.2013.6778235
Nur KHasan MSaha P(2012)An automated urban traffic control system for heavy traffic congestion2012 7th International Conference on Electrical and Computer Engineering10.1109/ICECE.2012.6471585(454-457)Online publication date: Dec-2012
https://doi.org/10.1109/ICECE.2012.6471585

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