Stereoscopic Tracking of Bodies in Motion

The algorithm assumes that object motion is restricted to a horizontal plane ( for example motion of cars on roads or humans walking). Dense stereo image sequences and the Visualised Locus method [1] [2] (in which each image sequence is first sampled to produce a 2D spatiotemporal cross-section image) are used to ensure temporal correspondence without search. Edge segments in the left and right spatio-temporal images are then matched. Additional stereo matching constraints are derived by using motion and temporal continuity to reduce the number of ambiguous matches. Speed is achieved by only processing a single spatio-temporal cross-section image from each image sequence.