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VEHICLE TRACKING USING KALMAN FILTER AND FEATURES

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Author(s): Amir Salarpour | Arezoo Salarpour | Mahmoud Fathi | MirHossein Dezfoulian

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 2;
Issue: 2;
Start page: 1;
Date: 2011;
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Keywords: Kalman filter | occlusion | active contour

ABSTRACT
Vehicle tracking has a wide variety of applications. The image resolution of the video available from most traffic camera system is low. In many cases for tracking multi object, distinguishing them from another isn’t easy because of their similarity. In this paper we describe a method, for tracking multiple objects, where the objects are vehicles. The number of vehicles is unknown and varies. We detect all moving objects, and for tracking of vehicle we use the kalman filter and color feature and distance of it from one frame to the next. So the method can distinguish and tracking all vehicles individually. The proposed algorithm can be applied to multiple moving objects.
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