Abstract: A computer implemented method for providing an augmented reality (AR) function, comprises receiving input information regarding a music track and an instrument; determining attribute information of the music track based on the received input information; receiving real time content of audiovisual (AV) input signals using at least one capturing device; generating visual information corresponding to visual data of the real time content, wherein the visual information corresponds to a view regarding at least one user limb and an instrument comprising a plurality of user operable elements; generating augmented reality (AR) instruction information based on the attribute information of the music track, the augmented reality (AR) instruction information comprising a plurality of layers; and generating augmented reality (AR) visual information by applying the augmented reality (AR) instruction information to the visual information so that a first layer of the augmented reality (AR) instruction information is applied

Abstract: A computer implemented method for providing an augmented reality (AR) function, comprises receiving input information regarding a music track and an instrument; determining attribute information of the music track based on the received input information; receiving real time content of audiovisual (AV) input signals using at least one capturing device; generating visual information corresponding to visual data of the real time content, wherein the visual information corresponds to a view regarding at least one user limb and an instrument comprising a plurality of user operable elements; generating augmented reality (AR) instruction information based on the attribute information of the music track, the augmented reality (AR) instruction information comprising a plurality of layers; and generating augmented reality (AR) visual information by applying the augmented reality (AR) instruction information to the visual information so that a first layer of the augmented reality (AR) instruction information is applied

Abstract: A method and system for object tracking in computer vision. The tracked object is recognized from an image that has been acquired with the camera of the computer vision system. The image is processed by randomly generating samples in the search space and then computing fitness functions. Regions of high fitness attract more samples. Computations may be stored into a tree structure. The method provides efficient means for sampling from a very peaked probability density function that can be expressed as a product of factor functions.

Abstract: A method for tracking a target in computer vision is disclosed. The method generates an integral image (22) based on the input image. Then the image is split into portions (24). For each new portion a definite integral corresponding to the portion is computed using an integral image (25). Based on the definite integrals a new portion is chosen for splitting (26). The new portion is processed correspondingly and the processing is repeated until a termination condition is reached (27).