A Diffusion Dimensionality Reduction Approach to Background Subtraction in Video Sequences

Dina Dushnik, Alon Schclar, Amir Averbuch, Raid Saabni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Identifying moving objects in a video sequence is a fundamental and critical task in many computer-vision applications. A common approach performs background subtraction, which identifies moving objects as the portion of a video frame that differs significantly from a background model. An effective background subtraction algorithm has to be robust to changes in the background and it should avoid detecting nonstationary background objects such as moving leaves, rain, snow, and shadows. In addition, the internal background model should quickly respond to changes in background such as objects that stop or start moving. We present a new algorithm for background subtraction in video sequences which are captured by a stationary camera. Our approach processes the video sequence as a 3D cube where time forms the third axis. The background is identified by first applying the Diffusion Bases (DB) dimensionality reduction algorithm to the time axis and then by applying an iterative method to extract the background.

Original languageEnglish
Title of host publicationProceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020
EditorsJuan Julian Merelo, Jonathan Garibaldi, Christian Wagner, Thomas Bäck, Kurosh Madani, Kevin Warwick
PublisherScience and Technology Publications, Lda
Pages294-300
Number of pages7
ISBN (Print)9789897584756
DOIs
StatePublished - 2020
Event12th International Joint Conference on Computational Intelligence, IJCCI 2020 - Budapest, Hungary
Duration: 2 Nov 20204 Nov 2020

Publication series

NameInternational Joint Conference on Computational Intelligence
Volume1
ISSN (Electronic)2184-3236

Conference

Conference12th International Joint Conference on Computational Intelligence, IJCCI 2020
Abbreviated titleIJCCI 2020
Country/TerritoryHungary
CityBudapest
Period2/11/204/11/20

Keywords

  • Background Subtraction
  • Diffusion Bases
  • Dimensionality Reduction

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