Target Object Tracking-Based 3D Object Reconstruction in a Multiple Camera Environment in Real Time

The visualization of a three-dimensional target object reconstruction from multiple cameras is an important issue in high-dimensional data representations with application for medical uses, sports scene analysis, and event creation for film. In this paper, we propose an efficient 3D reconstruction methodology to voxelize and carve the 3D scene in focus on 3D tracking of the object in a large environment. We applied sparse representation-based target object tracking to efficiently trace the movement of the target object in a background clutter and reconstruct the object based on the estimated 3D position captured from multiple images. The voxelized area is optimized to the target by tracking the 3D position and then effectively reduce the process time while keeping the details of the target. We demonstrate the experiments by carving the voxels within the 3D tracked area of the target object.