Aisapack Holding Sa

Ecole Polytechnique Federale De Lausanne

Fondation De L'institut De Recherche Idiap

Swiss Timing Ltd

François Fleuret

Florent Monay

Jacques Thomasset

Engin Türetken

Pascal Fua

Gaël Bussien

Léonard Medico

Yann Lepoittevin

Alexandre Gallet

Yan Gex-Collet

Salim Kayal

Charles Dubout

Jérôme Berclaz

Filipe Bento Raimundo

Horesh Ben Shitrit

A process for continuous welding of a sheet of plastic material for manufacturing flexible packages, comprising a step of positioning the sheet relative to the welding device, putting ends of the sheet into contact, forming a weld by heating, pressing and cooling the ends of the sheet that are in contact, acquiring a primary temporal signal with a sensor, the primary temporal signal proportional to a thickness of the weld, transforming the primary temporal signal into a primary frequency signal and defining a low-frequency spectrum, a medium-frequency spectrum, and a high-frequency spectrum from the primary frequency signal, reconstructing a secondary low-frequency signal from the low-frequency spectrum, and determining the thickness of the weld based on the secondary low-frequency signal.

Process for producing a packaging weld

Method for orienting tube components (), such as heads or stoppers, comprising a step of measuring the angular position () of a component followed by a step of orienting said component, in which step the angular correction of the component is determined especially while taking into account the measured signal (); method characterized in that said angular correction is also determined while taking into account a modelled parasitic signal (). The invention also comprises a device using said method.

Method for orienting tube components

Object detection receives an input image to detect an object of interest. It determines feature matrices based on the received image, wherein each matrix represents a feature of the received image. The plurality of matrices are Fourier transformed to Fourier feature matrices. Fourier filter matrices are provided, each representing a feature of an object transformed in Fourier space. Each filter matrix is point-wise multiplied with one of the feature matrices corresponding to the same feature. The plurality of matrices are summed, resulting by point-wise multiplying each Fourier filter matrix with the corresponding Fourier feature matrix to obtain a Fourier score matrix. An inverse Fourier transform of the Fourier score matrix is performed, resulting in a score matrix, which is used to detect the object in the input image.

Object detection method, object detector and object detection computer program

Trajectories of objects are estimated by determining the optimal solution(s) of a tracking model on the basis of an occupancy probability distribution. The occupancy probability distribution is the probability of presence of objects over a set of discrete points in the spatio-temporal space at a number of time steps. The tracking model is defined by the set of discrete points, a virtual source location and a virtual sink location, wherein objects in the tracking model are creatable in the virtual source location and are removable in the virtual sink location.

Method and apparatus for multiple object tracking with K-shortest paths

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Yverdon-les-Bains, Switzerland

François Fleuret