Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video-Reference-Cited by-同舟云学术

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

Published:2015-05-10 Issue:2 Volume:43 Page:345-361
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

López-Rubio Francisco J.,Domínguez Enrique,Palomo Esteban J.,López-Rubio Ezequiel,Luque-Baena Rafael M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-015-9431-8.pdf

Reference19 articles.

1. Balcilar M, Karabiber F, Sonmez A (2013) Performance analysis of Lab2000HL color space for background subtraction. In: 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) (2013)

2. Bishop CM, Svenson M (1998) The generative topographic mapping. Neural Comput 10(1):215–234

3. Brainard DH (2003) The science of color. In: Shevell SK (ed) Color appearance and color difference specification. Elsevier, Oxford, pp 191–216

4. Doshi A, Trivedi M (2007) Satellite imagery based adaptive background models and shadow suppression. Signal Image Video Process 1(2):119–132

5. Gao T, Liu ZG, Yue SH, Mei JQ, Zhang J (2009) Traffic video-based moving vehicle detection and tracking in the complex environment. Cybern Syst 40(7):569–588

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