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We present a system for determining a consensus estimate of the pose of an object, as seen from multiple cameras in a distributed network. The cameras are pointed towards a 3D object defined by a configuration of points, which are assumed to be visible and detected in all camera images. The cameras are given a model defining the 3D configuration of these object points, but do not know which image...
Natural interaction between humanoid robots and humans is one of the major goals of the HRI field. Two major requirements for advancing this direction of research are the availability of human-human and base human-robot interaction datasets for training and evaluation purposes and the availability of general agreed upon objective metrics for judging the performance of proposed robots and algorithms...
The framework of differential optical flow has been built upon to enhance the performance of motion estimation from optical flow. By coupling optical flow and object state parameters, an effective procedure for object tracking is implemented with the dasiaSimultaneous Estimation of Optical Flow and Object Statepsila (SEOS) technique. The SEOS method utilizes dynamic object parameter information when...
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