  Tracking object poses in 3D is a crucial building block for Augmented Reality
applications. We propose an instant motion tracking system that tracks an
object's pose in space (represented by its 3D bounding box) in real-time on
mobile devices. Our system does not require any prior sensory calibration or
initialization to function. We employ a deep neural network to detect objects
and estimate their initial 3D pose. Then the estimated pose is tracked using a
robust planar tracker. Our tracker is capable of performing relative-scale
9-DoF tracking in real-time on mobile devices. By combining use of CPU and GPU
efficiently, we achieve 26-FPS+ performance on mobile devices.
