Moving object tracking in the moving background

It is of important practical value to track moving objects in the fields of industrial process control, medical research, imaging guidance, etc. At present most research in this field are often based on static background, while those based on moving background are rather less. A complete algorithm of object tracking in the moving background was proposed. Firstly, the background of sequence images were registered by using the mutual information. Secondly, a differential method was used to detect moving object in combination with image segmentation technology to get the object template. Object tracking was based on Kalman filter and the object matching was still based on the mutual information theory. The experiments show that object tracking is rapid, accurate and robust by using this algorithm. Computational efficiency and accuracy of this new tracking algorithm is so high, and its application prospect will be broad.