Using estimation of camera movement to achieve multi-target tracking

Estimating the motion of a moving camera is a ubiquitous problem in the field of computer vision. With technology such as self-driving cars and autonomous drones becoming more popular, fast and efficient algorithms enabling on-board video processing are needed to return timely and accurate information at a low computational cost. This estimation of camera movement, or ‘pose estimation’, is also a crucial component of target tracking aboard moving vehicles or platforms.