Latest revision as of 23:59, 28 January 2021

Abstract

Intelligent Transportation Systems need methods to automatically monitor the road traffic, and especially track vehicles. Most research has concentrated on highways. Traffic in intersections is more variable, with multiple entrance and exit regions. This paper describes an extension to intersections of the feature-tracking algorithm described in [1]. Vehicle features are rarely tracked from their entrance in the field of view to their exit. Our algorithm can accommodate the problem caused by the disruption of feature tracks. It is evaluated on video sequences recorded on four different intersections.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1109/crv.2006.3

• http://nicolas.saunier.confins.net/stock/saunier06feature-based.pdf

• http://n.saunier.free.fr/saunier/stock/saunier06feature-based.pdf,

https://ieeexplore.ieee.org/document/1640414,

https://dblp.uni-trier.de/db/conf/crv/crv2006.html#SaunierS06,

http://ieeexplore.ieee.org/document/1640414,

https://doi.org/10.1109/CRV.2006.3,

https://dl.acm.org/citation.cfm?id=1135594,

https://www.computer.org/csdl/proceedings/crv/2006/2542/00/25420059.pdf,

https://academic.microsoft.com/#/detail/2149454580

• http://xplorestaging.ieee.org/ielx5/10921/34370/01640414.pdf?arnumber=1640414,

http://dx.doi.org/10.1109/crv.2006.3