Another method used to optimized tracking when there can be multiple likely candidates within the search radius is to use weighing to prioritize objects that are more similar the the object in the previous time point. Weighing can be used with any features of an object, such as size, shape or intensity values, and multiple features can be used to more specifically prioritize certain objects based on their similarity to the objects in the previous time point.

Note that using weighing can lead to incorrect track identification if the objects undergo significant intensity or morphology changes as they move through the time series. This usually means that using weighing to improve track accuracy is unlikely to succeed when tracking dividing cells for example.