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Authors: M. Brulin ; C. Maillet and H. Nicolas

Affiliation: University of Bordeaux, France

Keyword(s): Video Surveillance, Traffic, Temporal Segment, Behavior.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Segmentation and Grouping ; Video Surveillance and Event Detection

Abstract: Traffic video surveillance is an important topic for security purposes and to improve the traffic flow management. Video surveillance can be used for different purposes such as counting of vehicles or to detect their speed and behaviors. In this context, it is often important to be able to analyze the video in real-time. The huge amount of data generated by the increasing number of cameras is an obstacle to reach this goal. A solution consists in selecting in the video only the regions of interest, essentially the vehicles on the road areas. In this paper, we propose to extract significant segments of the regions of interest and to analyze them temporally to count vehicles and to define their behaviors. Experiments on real data show that precise vehicle’s counting and high recall and precision are obtain for vehicle’s behavior and traffic analysis.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Brulin, M.; Maillet, C. and Nicolas, H. (2014). 1-D Temporal Segments Analysis for Traffic Video Surveillance. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 557-563. DOI: 10.5220/0004733905570563

@conference{visapp14,
author={M. Brulin. and C. Maillet. and H. Nicolas.},
title={1-D Temporal Segments Analysis for Traffic Video Surveillance},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={557-563},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004733905570563},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - 1-D Temporal Segments Analysis for Traffic Video Surveillance
SN - 978-989-758-003-1
IS - 2184-4321
AU - Brulin, M.
AU - Maillet, C.
AU - Nicolas, H.
PY - 2014
SP - 557
EP - 563
DO - 10.5220/0004733905570563
PB - SciTePress