Holger Fillbrandt

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Visual surveillance systems often require exact localization of tracked persons on the ground plane of the monitored scene. This becomes a challenging task in a cluttered environment, where persons not only overlap each other in the image plane but are also at times partially occluded by furniture or similar objects. In contrast to many multi-camera or(More)
The ill-defined nine-dot problem is reanalysed to provide a new theoretical perspective for this old problem. In particular, the theory shows how the functional fixedness of the dots can be overcome and the correct solution obtained by a process of logic. The perspective develops ideas from holistic and gestalt psychology, and shows how an entity defines(More)
A new approach for human tracking under partial scene occlusion is proposed in this paper. Our method employs linear regression tracking and a camera model to find the most probable person position and height in the current frame. The system is stabilized by combining a priori knowledge, linear regression tracking, and the predicted position from a Kalman(More)
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