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Movement data (trajectories of moving agents) are hard to visualize: numerous intersections and overlapping between trajectories make the display heavily cluttered and illegible. It is necessary to use appropriate data abstraction methods. We suggest a method for spatial generalization and aggregation of movement data, which transforms trajectories into aggregate flows between areas. It is assumed...
We propose a framework to reconstruct complete object trajectories across the field-of-views of multiple semi-overlapping cameras. The framework is based on three main steps: local trajectory and object metadata extraction; trajectory transformation onto a common virtual top-view of the scene (ground plane); and global trajectory reconstruction. The extraction of trajectory metadata is based on object...
In this paper we present a robust image registration algorithm for the estimation of extended object trajectories in a distributed camera setting. The registration algorithm is based on a statistical homography estimation that accounts for errors related to the estimation of the homography matrix. Unlike traditional approaches based on singular value decomposition (SVD), we derive a planar homography...
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