We show that it is possible to build an application-specific motion constraint into a general hierarchy of camera models so that the resulting algorithm is efficient and well conditioned; and the system degrades gracefully if the constraint is violated. The current work arose in the context of a specific application, namely smart convoying of vehicles on highways, and so ground plane motion (GPM) arises naturally. The algorithm for estimating motion from monocular, uncalibrated image sequences under ground plane motion involves the computation of three kinds of structure α,β and γ for which algorithms are presented. Typical results on real data are shown.
CITATION STYLE
Wiles, C., & Brady, M. (1996). Ground plane motion camera models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1065, pp. 238–249). Springer Verlag. https://doi.org/10.1007/3-540-61123-1_143
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