“Object Pose Estimation and Tracking” is a critical task in computer vision that involves determining the position, orientation, and scale of objects in a scene and tracking their motion over time. This is a challenging problem due to the complex nature of real-world scenes and the varying appearance of objects.

We develop a robust and efficient object pose estimation and tracking system that can accurately estimate and track the pose of objects in a variety of challenging scenarios, such as low-light conditions, occlusions, and cluttered environments. We employ the latest advances in computer vision, machine learning, and sensor fusion to achieve high accuracy and real-time performance.