Online Full Body Human Motion Tracking Based on Dense Volumetric 3D Reconstructions from Multi Camera Setups
نویسندگان
چکیده
We present an approach for video based human motion capture using a static multi camera setup. The image data of calibrated video cameras is used to generate dense volumentric reconstructions of a person within the capure volume. The 3d reconstructions are then used to fit a 3d cone model into the data utilizing the Iterative Closest Point (ICP) algorithm. We can show that it is beneficial to use multi camera data instead of a single time of flight camera to gain more robust results in the overall tracking approach.
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