Abstract
This paper presents a novel growing neural gas based background model (GNG-BM) for foreground detection in videos. We proposed a pixel-level background model, where the GNG algorithm is modified for clustering the input pixel data and a new algorithm for initial training is introduced. Also, a new method is introduced for foreground-background classification and online model update. The proposed model is rigorously validated and compared with previous models.
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Shah, M., Deng, J.D., Woodford, B.J. (2013). Growing Neural Gas Video Background Model (GNG-BM). In: Cranefield, S., Nayak, A. (eds) AI 2013: Advances in Artificial Intelligence. AI 2013. Lecture Notes in Computer Science(), vol 8272. Springer, Cham. https://doi.org/10.1007/978-3-319-03680-9_15
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DOI: https://doi.org/10.1007/978-3-319-03680-9_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03679-3
Online ISBN: 978-3-319-03680-9
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