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In this paper we address the problem of multi-object tracking in video sequences, with application to pedestrian tracking in a crowd. In this con- text, particle ¯lters provide a robust tracking framework under ambiguity conditions. The particle ¯lter tech ...
We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3--D reconstructions from monocular sequences. We formulate the tracking problem is terms of minimizing a differentiable criterion whose differenti ...
In this paper we address the combination of multiple feature streams in a fast speaker diarization system for meeting recordings. Whenever Multiple Distant Microphones (MDM) are used, it is possible to estimate the Time Delay of Arrival (TDOA) for differen ...
For the analysis of flows in compliant vessels, we propose an approach to couple the original 3D equations with a convenient 1D model. This multi-scale strategy allows for a dramatic reduction of the computational complexity and is suitable for "absorbing" ...
This paper presents three novel Moving Horizon Estimation (MHE) methods for discrete-time partitioned linear systems, i.e. systems decomposed into coupled subsystems with non-overlapping states. The MHE approach is used due to its capability of exploiting ...
We present in this paper an approximative method for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation method and requires a linear number of messages. The largest message is in the worst c ...
Gaussian process (GP) prediction suffers from O(n^3) scaling with the data set size n. By using a finite-dimensional basis to approximate the GP predictor, the computational complexity can be reduced. We derive optimal finite-dimensional predictors under a ...
Approximation of Toeplitz matrices with circulant matrices is a well-known approach to reduce the computational complexity of linear equalizers. This paper presents a novel technique to compute linear equalizer coefficients in the frequency domain. It is s ...
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This work is concerned with the computational complexity of the recognition of \mboxLP2, the class of regions of the Euclidian space that can be classified exactly by a two-layered perceptron. Several subclasses of \mboxLP2 of particular interest ...
We address the problem of determining the \emph{optimal model complexity} for shape modeling. This complexity is a compromise between model specificity and generality. We show that the error of a model can be split into two components, the model error and ...
