Automatic Inter-image Homography Estimation from Person Detections

Abstract

Inter-image homographies are essential for many differenttasks involving projective geometry. This paper proposesan adaptive correspondence estimation approach betweenperson detections in a planar scene not relying oncorrespondence features as it is the case in many otherRANSAC-based approaches. The result is a planar interimagehomography calculated from estimated point correspondences.The approach is self-configurable, adaptiveand provides robustness over time by exploiting temporaland geometric information. We demonstrate the manifoldapplicability of the proposed approach on a variety ofdatasets. Improved results compared to a common baselineapproach are shown and the influence of error sources suchas missed detections, false detections and non overlappingfield of views is investigated.