A gaussian-median filter for moving objects segmentation applied for static scenarios

Belmar García García, Francisco J.Gallegos Funes, Alberto Jorge Rosales Silva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© Springer Nature Switzerland AG 2019. Background subtraction or also called foreground detection is an approach normally used for moving object segmentation in video sequences captured from a fixed camera. Most of the methods under this approach are not able to segment or require the strict absence of objects during their training or learning period in the first frames. In this document, a method capable of segmenting moving objects from the beginning of a video sequence and at the same time constructing a reference background image is proposed. The segmentation results show that the foreground and background regions of the scene are not affected during this stage compared to other methods.
Original languageAmerican English
Title of host publicationA gaussian-median filter for moving objects segmentation applied for static scenarios
Pages478-493
Number of pages428
ISBN (Electronic)9783030010539
DOIs
StatePublished - 1 Jan 2018
EventAdvances in Intelligent Systems and Computing -
Duration: 1 Jan 2018 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume868
ISSN (Print)2194-5357

Conference

ConferenceAdvances in Intelligent Systems and Computing
Period1/01/18 → …

Fingerprint

Switzerland
Learning

Cite this

García, B. G., Funes, F. J. G., & Silva, A. J. R. (2018). A gaussian-median filter for moving objects segmentation applied for static scenarios. In A gaussian-median filter for moving objects segmentation applied for static scenarios (pp. 478-493). (Advances in Intelligent Systems and Computing; Vol. 868). https://doi.org/10.1007/978-3-030-01054-6_34
García, Belmar García ; Funes, Francisco J.Gallegos ; Silva, Alberto Jorge Rosales. / A gaussian-median filter for moving objects segmentation applied for static scenarios. A gaussian-median filter for moving objects segmentation applied for static scenarios. 2018. pp. 478-493 (Advances in Intelligent Systems and Computing).
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García, BG, Funes, FJG & Silva, AJR 2018, A gaussian-median filter for moving objects segmentation applied for static scenarios. in A gaussian-median filter for moving objects segmentation applied for static scenarios. Advances in Intelligent Systems and Computing, vol. 868, pp. 478-493, Advances in Intelligent Systems and Computing, 1/01/18. https://doi.org/10.1007/978-3-030-01054-6_34

A gaussian-median filter for moving objects segmentation applied for static scenarios. / García, Belmar García; Funes, Francisco J.Gallegos; Silva, Alberto Jorge Rosales.

A gaussian-median filter for moving objects segmentation applied for static scenarios. 2018. p. 478-493 (Advances in Intelligent Systems and Computing; Vol. 868).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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García BG, Funes FJG, Silva AJR. A gaussian-median filter for moving objects segmentation applied for static scenarios. In A gaussian-median filter for moving objects segmentation applied for static scenarios. 2018. p. 478-493. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-01054-6_34