A Dynamic Bayes Network for visual Pedestrian Tracking

Many tracking systems rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations are imprecise the generated trajectory is prone to be updated towards a wrong position. In contrary to existing methods our novel approach sug...

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Bibliographic Details
Main Authors: T. Klinger, F. Rottensteiner, C. Heipke
Format: Article
Language:English
Published: Copernicus Publications 2014-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/145/2014/isprsarchives-XL-3-145-2014.pdf

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