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To effectively discriminate the so called “significant motion”, actions with subtle differences, such as minimum inertia among running, jogging and walking, are approximated by a new local posture descriptor. First, each human pose from action sequences is divided into multiple local rigid body-parts (LRBPs) by the multi-group 2-simplex templates. Second, a new local posture descriptor is proposed...
There has been a significant growing interest in the study of sparse representation recent years. Although many algorithms have been developed, outliers in the training data make the estimation unreliable. In the paper, we present a model under non-parametric Bayesian framework to solve the problem. The noise term in the sparse representation is decomposed into a Gaussian noise term and an outlier...
This paper presents principles and techniques to perform tomographic imaging of volumetric natural environments using Multi-Baseline Polarimetric and Interferometric SAR (MB-POL-inSAR) data. The objective of this work is to provide robust techniques to reconstruct the 3-D structure of media and to estimate some of their physical parameters. The proposed approaches are based on results obtained in...
This paper presents principles and robust techniques to estimate physical parameters of natural environments using Multi-Baseline Polarimetric and Interferometric SAR (MB-POL-inSAR) data. The first part of this paper concerns the abstract topic of MB-POL-inSAR coherence optimization The second part is dedicated to the general estimation of the coherence line model parameters [1]. It is demonstrated...
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