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This invention describes a way to track a person's location in a space using several cameras. It works by taking pictures from different angles, identifying the person in each picture, and then using those images to create a 3D shape that represents where the person is. This 3D shape is a 'probabilistic representation' of their location, meaning it shows the likely area they occupy.
Why it matters: In 2014, robust foreground identification and real-time 3D reconstruction from multiple views were computationally intensive. Advances in deep learning for computer vision and increased processing power now make this method more accurate and feasible for real-time applications.
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