Increasing motion information by using universal tracking of 2D-features

As long as visual features for recognition are known in advance and remain static due to a controlled environment, object tracking is state-of-the-art. Tracking objects in dynamically changing environments is still a challenge. Even harder is the tracking of moving objects with a moving camera. Our algorithm realizes a deterministic approach to track any 2D-features representable in a general way. Using our algorithm results in a more dense motion flow field and objects that move with a different motion vector than the environment can be clearly identified.