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An object tracking algorithm that uses the flexible kernels based on the normalized metric dalpha distance transform for the mean shift procedure is proposed and tested. This replaces the more usual Epanechnikov kernel (E-kernel), improving target representation and localization without increasing the processing time, minimizing the similarity measure using the Bhattacharya coefficient. The target...
In this paper, a new method is proposed for target tracking based on wavelet transform and relevance vector machine (RVM). Considering tracking as a classification problem, we train a RVM classifier to distinguish an object from its background. This is done by constructing feature vector for every pixel in the reference image and then training a RVM classifier to separate pixels which belong to the...
In this paper, a new method for contour tracking of mobile target in low quality video sequence is presented. Proposed method helps to track variety of targets exactly while the camera is moving. In this study, a new type of active contour is used with a way for estimating motion model of the target. Estimating motion model of the target uses color and location information together. This information...
A new greedy algorithm is introduced using basic matching pursuit based on minimization of the mean square error (MSE) criterion. Comparing with its previous counterparts i.e. support vector machine (SVM) and relevance vector machine (RVM), in our proposed approach, the kernel mean is not restricted to the training input data. However, in this paper, the kernel mean is chosen in an adaptive manner...
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