Particle filters and occlusion handling for rigid 2D3D pose tracking ?
A robust algorithm for 2D visual tracking and 3D pose estimation is proposed. We focus on partial occlusions that distort the region properties of an object. Optimal pose of an object is estimated via particle filters in a decoupled manner. The degree of trust between systems predictions and measurements is controlled. The resulting methodology improves tracking performance in clutter and occlusion.
particle filters occlusion handling 2d3d pose estimation object tracking