We propose a systematic framework for moving target positioning based on a distributed camera network. In the proposed\nframework, low-cost static cameras are deployed to cover a large region, moving targets are detected and then tracked using\ncorresponding algorithms, target positions are estimated by making use of the geometrical relationships among those cameras\nafter calibrating those cameras, and finally, for each target, its position estimates obtained from different cameras are unified\ninto the world coordinate system. This system can function as complementary positioning information sources to realize moving\ntarget positioning in indoor or outdoor environments when global navigation satellite system (GNSS) signals are unavailable. The\nexperiments are carried out using practical indoor and outdoor environment data, and the experimental results show that the\nsystematic framework and inclusive algorithms are both effective and efficient.
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