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We suggest a novel algorithm that tracks given shapes in real time from a low-quality video stream. The algorithm is based on a careful selection of a small subset of pixels that suffices to obtain an approximation of the observed shape. The shape can then be extracted quickly from the small subset. We implemented the algorithm in a system for mutual localization of a group of low-cost toy-quadcopters...