![]() Vehicle reidentification is the process of matching vehicles from one point on the roadway (one field of view) to the next. However, the performances fall when the vehicle lateral position shifts. ![]() The influence of the vehicle orientation to the magnetic North on the signature is therefore limited. On a data base of signatures from 25 different vehicles, the best results are obtained with the 3D Euclidean distance: 100% of the pairs of signatures are correctly re-identified without any false alarm if the vehicle keeps the same orientation and 90% if the vehicle orientation changes. Moreover, the effects of a change in the vehicle orientation or in its lateral position are studied. ![]() These performances are compared to the ones achieved by a single sensor and the three-dimensional (3D) Dynamic Time Warping algorithm. This paper aims to evaluate the performances of a vehicle re-identification method based on Euclidean distances between vehicle "magnetic signatures" measured with several three-Axis magnetic sensors. Vehicle re-identification gives access to two essential data for traffic management: travel times and origin-destination matrices. High level schemes are based on the recently developed MPEG-7 Description Schemes and are utilized as an information processing framework, which formulates identification and event representation procedures. Low-level algorithms perform the tasks of license plate recognition for vehicle identification, as well as feature extraction through change detection, for event detection purposes. Its operation is based on the combination of sensor networks, low-level image processing algorithms and high-level description schemes. This paper analyzes the structure operation principles and the structure of an integrated highway management system. ITS may support a wide range of abilities, including vehicle identification and reidentification, event detection and optimum resource management. Recent development in the aspects of low-level image processing for feature extraction, as well as in the standardization of description schemes for video description, provide means for the development of Intelligent Transportation Systems.
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