Efficient Background Subtraction and Shadow Removal for Monochromatic Video Sequences

This letter presents a new method for background subtraction and shadow removal for grayscale video sequences. The background image is modeled using robust statistical descriptors, and a noise estimate is obtained. Foreground pixels are extracted, and a statistical approach combined with geometrical...

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Veröffentlicht in:	IEEE transactions on multimedia 2009-04, Vol.11 (3), p.571-577
1. Verfasser:	Jung, C.R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Background noise Background subtraction Cameras Computer science control theory systems Computer systems and distributed systems. User interface Computer vision Estimates Exact sciences and technology Gray-scale Lighting Mathematical models monochromatic video sequences Multimedia Noise robustness Object detection object tracking Pattern recognition. Digital image processing. Computational geometry Pixels shadow removal Shadows Software Subtraction Surveillance Testing Video sequences
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Beschreibung
Zusammenfassung:	This letter presents a new method for background subtraction and shadow removal for grayscale video sequences. The background image is modeled using robust statistical descriptors, and a noise estimate is obtained. Foreground pixels are extracted, and a statistical approach combined with geometrical constraints are adopted to detect and remove shadows.
ISSN:	1520-9210 1941-0077
DOI:	10.1109/TMM.2009.2012924