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...
Main Authors: | T. Klinger, F. Rottensteiner, C. Heipke |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2014-08-01
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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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