Abstract: The present invention relates to determining a trajectory of a target from two streams of images obtained from two sources of images, a sub-image of each of the images of the two streams of images representing an overlapping area of a real scene. After having obtained a target path for each of a plurality of targets, from images of the sources of images, for each of the two streams of images, each target path being obtained from a target tracker associated with a source of image, each of the obtained target paths is split into a plurality of target path portions as a function of each potential target switch along the obtained target path. Then, the trajectory is generated as a function of a plurality of the target path portions.

Abstract: The present disclosure relates to processing images representing a real scene, the images comprising at least two images obtained from at least two sources of images, a sub-image of each of the at least two images representing an overlapping area of the real scene. A role map comprising a plurality of parts, all the points of each part of the role map being associated with a single identifier of a source of images, is generated during a training phase. To process the images, parts of the role map are selected as a function of an identifier of a considered source of images, and sub-images of an image obtained from the considered source of images are processed, the processed sub-images corresponding to the selected parts of the role map.

Abstract: A sound source separation method comprising the steps of determining at least one location of at least one sound source based on video data, determining initial estimates of at least two parameters characterizing an audio signal emitted by said sound source, said initial estimates being determined based on said at least one location, performing an expectation-maximization method for determining final estimates of said parameters, and separating the audio signal from a combination of audio signals based on said final estimates of said parameters.

Abstract: A direction of at least one sound source from an array of microphones is determined by obtaining a plurality of solutions sets from audio signals acquired from the microphones array, each solutions set being obtained by applying a sound source localization method to the audio signals, each solution defining a sound direction candidate. Then, solutions are grouped into groups of solutions and at least one of the groups is removed, based on a criterion of disparity between the solutions sets. The direction of the at least one sound source from directions associated with the remaining groups is obtained.

Abstract: A direction of at least one sound source from an array of microphones is determined by obtaining a plurality of solutions sets from audio signals acquired from the microphones array, each solutions set being obtained by applying a sound source localization method to the audio signals, each solution defining a sound direction candidate. Then, solutions are grouped into groups of solutions and at least one of the groups is removed, based on a criterion of disparity between the solutions sets. The direction of the at least one sound source from directions associated with the remaining groups is obtained.