Abstract
Velocity information is not only important for determining velocities and trajectories of objects but also important as a cue for image segmentation. This paper presents a method of computing velocity information from a sequence of images. It uses velocity estimates of the prominent feature points as reliable initial estimates and propagates them efficiently to other points using a constraint relation between neighboring points. The result obtained from the first two frames is used for efficient analysis of subsequent frames. The presented method allows objects to translate and rotate in the 3-D world and may occlude one another. It is assumed, however, that objects are rigid and their motion is smooth. Experimental results arc shown for several synthetic and real world images.
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