Tools for semi-automatic monitoring of industrial workflows
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
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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.