KEYWORDS: Cameras, Video, Head, Visualization, Distributed computing, Data processing, Associative arrays, Video surveillance, Video processing, Scientific research
We propose a unique method TWIN HEAD SLAM to build an integrated and consistent environment map by two camera heads that move freely with each other. Visual SLAM with multiple cameras is called cooperative SLAM. The updated environment map is shared by two tracking modules that are attached to each camera separately. Our contribution is that the integrated environment map is updated frame-by-frame from both camera inputs. This indicates that the key features obtained by one camera right now are instantly available on the tracking module of the other camera. We have implemented the proposed method based on OpenVSLAM and confirmed that two video inputs from two cameras are used to build the one consistent environment map that is shared by the localization modules of the two cameras.
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