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We propose a fast approach to 3D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the camera. No additional information is provided to the system, save a very roug ...
This paper analyzes several mitigation strategies and techniques that could enable delay sensitive applications to work properly over satellite IP networks. A study is conducted on different satellite classes (GEO, MEO and LEO) and the analysis of the curr ...
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Shah functional. The core of our model is an energy functional composed by thre ...
This abstract presents a perform study on SOLERO, a new and innovative rover concept for regional mobility on planetary surfaces. A rover is the most suited element to bring scientific instrument to a specific site in order to examine geology, mineralogy o ...
We present an approach to create hyper-links between video segments that contain objects of interest, based on video structuring, object definition, and stochastic object localization in the video structure. Localization is formulated in the Metric Mixture ...
Multi-Object tracking (MOT) is an important problem in a number of vision applications. For particle filter (PF) tracking, as the number of objects tracked increases, the search space for random sampling explodes in dimension. Partitioned sampling (PS) sol ...
It has been considered bon ton to blame locks for their fragility, especially since researchers identified obstruction-freedom: a progress condition that precludes locking while being weak enough to raise the hope for good performance. This paper attenuate ...
We present an approach to create hyper-links between video segments that contain objects of interest, based on video structuring, object definition, and stochastic object localization in the video structure. Localization is formulated in the Metric Mixture ...
We study the influence of metal roughness on the near-field distribution generated by an aperture or an apertureless (scattering) probe. Different experimental parameters are investigated: roughness magnitude, aperture form, distribution of the roughness. ...
Multi-Object tracking (MOT) is an important problem in a number of vision applications. For particle filter (PF) tracking, as the number of objects tracked increases, the search space for random sampling explodes in dimension. Partitioned sampling (PS) sol ...
