Abstract
This paper describes real time object tracking of 3D objects in 2D image sequences. The moving objects are segmented by the method of differential image followed by the process of morphological dilation. The moving objects are recognized and tracked using statistical moments. The straight lines in the moving objects are found with the help of Radon transform. The direction of the moving object is calculated from the orientation of the straight lines in the direction of the principal axes of the moving objects. The direction of the moving object and the displacement of the object in the image sequence are used to calculate the velocity of the moving objects. The simulation results of the proposed method are promising on the test images.KeywordsImage SequenceOptical FlowStatistical MomentObject TrackingMoving ObjectThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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