Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video

Detecting foreground objects on scenes is a fundamental task in computer vision and the used color space is an important election for this task. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution to detect foreground objects. Oth...

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Veröffentlicht in:	Neural processing letters 2016-04, Vol.43 (2), p.345-361
Hauptverfasser:	López-Rubio, Francisco J., Domínguez, Enrique, Palomo, Esteban J., López-Rubio, Ezequiel, Luque-Baena, Rafael M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Artificial Intelligence Color Complex Systems Computational Intelligence Computer Science Computer vision Distance learning Probability Random variables Self organizing maps Video compression Wavelet transforms
Online-Zugang:	Volltext
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