This paper presents a probabilistic grammar approach to the recognition of complex events in videos. Firstly, based on the original motion features, a rule induction algorithm is a...
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
—Motion sensing input devices like Microsoft’s Kinect offer an alternative to traditional computer input devices like keyboards and mouses. Daily new applications using this in...
Steffen Hirte, Andreas Seifert, Stephan Baumann, D...
— This paper addresses the problem of efficiently computing robot navigation functions. Navigation functions are potential functions free of spurious local minima that present a...
Luciano C. A. Pimenta, Alexandre R. Fonseca, Guilh...