This paper presents a computationally efficient, two-dimensional, feature point tracking
algorithm for the automated detection and quantitative analysis of particle trajectories as
recorded by video imaging in cell biology. The tracking process requires no a priori
mathematical modeling of the motion, it is self-initializing, it discriminates spurious
detections, and it can handle temporary occlusion as well as particle appearance and
disappearance from the image region. The efficiency of the algorithm is validated on …