Titlebook: Complex Motion; First International Bernd Jähne,Rudolf Mester,Hanno Scharr Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2

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0302-9743 d objects such as bodies of living beings). The spectrum of problems includes, but does not end at, objects which are not ‘bodies’ at all, e. g. , when anal- in978-3-540-69864-7978-3-540-69866-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Bayesian Approaches to Motion-Based Image and Video Segmentation,zation results in an eigenvalue problem for the motion parameters and in a gradient descent evolution for the motion boundary. The evolution of the motion boundaries is implemented by a multiphase level set formulation which allows for the segmentation of an arbitrary number of multiply connected mo

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Mathematical Approximation Methods. A fraction of the positions is determined by using a sequential Monte Carlo sampling resampling algorithm, while the remaining fraction of the positions is determined by using a random variable, which is distributed according to an initialization distribution. This approach results in a fixed numb

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https://doi.org/10.1007/978-3-663-10648-7ide ‘bottom-up’ information that is incorporated into the inference process, enabling automatic object detection and tracking. We illustrate our method by detecting and tracking two classes of objects, vehicles and pedestrians, in video sequences collected using a single grayscale uncalibrated car-m

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Conference proceedings 2007so multiple motions of independent objects, occlusions, and - ing as far as dealing with objects which are complex in themselves (articulated objects such as bodies of living beings). The spectrum of problems includes, but does not end at, objects which are not ‘bodies’ at all, e. g. , when anal- in

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Optimal Filters for Extended Optical Flow,timation heavily depends on the filter families used to implement the models. In this paper we focus on models whose terms are all data dependent and therefore are best estimated via total-least-squares (TLS) or similar estimators. Using three different linear models we derive . optimality criteria