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PRICAI
2004
Springer

Adaptive Model for Foreground Extraction in Adverse Lighting Conditions

10 years 3 months ago
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions
Background elimination models are widely used in motion tracking systems. Our aim is to develop a system that performs reliably under adverse lighting conditions. In particular, this includes indoor scenes lit partly or entirely by diffuse natural light. We present a modified “median value” model in which the detection threshold adapts to global changes in illumination. The responses of several models are compared, demonstrating the effectiveness of the new model.
Stewart Greenhill, Svetha Venkatesh, Geoff A. W. W
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PRICAI
Authors Stewart Greenhill, Svetha Venkatesh, Geoff A. W. West
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