Object tracking based on temporal and spatial information
This paper addresses the problem of segmenting an image sequence in terms of multiple moving objects and tracking them through time and presents an object tracking algorithm. The objects are characterized through their temporal and spatial features so as to identify them and carry out the tracking procedure. The proposed tracking algorithm helps to detect the objects present in the current frame by supplying previous spatio-temporal information to the spatio-temporal segmentation procedure. In addition, the proposed algorithm tackles the correspondence problem. This is achieved through the use of a multiple hypotheses framework, the latter tests being based on both temporal and spatial characterizations of the objects.