Adaptive video-based vehicle classification technique for monitoring traffic.
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2015-08-01
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Abstract:This report presents a methodology for extracting two vehicle features, vehicle length and number of axles in order
to classify the vehicles from video, based on Federal Highway Administration (FHWA)’s recommended vehicle
classification scheme. There are two stages regarding this classification. The first stage is the general classification
that basically classifies vehicles into 4 categories or bins based on the vehicle length (i.e., 4-Bin length-based vehicle
classification). The second stage is the axle-based group classification that classifies vehicles in more detailed
classes of vehicles such as car, van, buses, based on the number of axles. The Rapid Video-based Vehicle
Identification System (RVIS) model is developed based on image processing technique to enable identifying the
number of vehicle axles. Also, it is capable of tackling group classification of vehicles that are defined by axles and
vehicle length based on the FHWA’s vehicle classification scheme and standard lengths of 13 categorized vehicles.
The RVIS model is tested with sample video data obtained on a segment of I-275 in the Cincinnati area, Ohio. The
evaluation result shows a better 4-Bin length–based classification than the axle-based group classification. There
may be two reasons. First, when a vehicle gets misclassified in 4-Bin classification, it will definitely be misclassified
in axle-based group classification. The error of the 4-Bin classification will propagate to the axle-based group
classification. Second, there may be some noises in the process of finding the tires and number of tires. The project
result provides solid basis for integrating the RVIS that is particularly applicable to light traffic condition and the
Vehicle Video-Capture Data Collector (VEVID), a semi-automatic tool to be particularly applicable to heavy traffic
conditions, into a “hybrid” system in the future. Detailed framework and operation scheme for such an integration
effort is provided in the project report.
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