Our purpose is to find the objects in a video of a complex scene by comparing their motion in relation with other objects at different time scales.  We use a representation of moving objects in terms of clustered feature tracks which, in the absence of domain knowledge, conveys the ambiguity between objects, parts of objects and groups of objects.  Algorithms to obtain and process such representation are presented, with experimental results on a challenging video.