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Titlebook: Computer Analysis of Images and Patterns; 7th International Co Gerald Sommer,Kostas Daniilidis,Josef Pauli Conference proceedings 1997 Spri

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Fully unsupervised clustering using centre-surround receptive fields with applications to colour-se clustering-algorithms. We propose a fully unsupervised clustering algorithm that is obtained by changing the non-parametric density estimation problem in two ways. Firstly, we use cross-validation to select the appropriate width of the convolution-kernel. Secondly, using kernels with a positive cen
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Real-time pedestrian tracking in natural scenes,tem for data driven tracking of moving objects. We apply the system to tracking pedestrians in natural scenes. No specialized hardware is used. To achieve the necessary efficiency several principles of active vision, namely selection in space, time, and resolution are implemented. For object trackin
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,2, → 2, geometric transformation invariant to arbitrary translations, rotations and scales,nformation on the internal structure of pattern consisting of pairs of angles. This approach does not use specific feature points of the curve as curvature maxima, torsion extrema or curvature discontinuity. The quasi-linearity feature of this transformation allows recognition of two or more images
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