Moving object detection in video sequence images based on an improved visual background extraction algorithm

J. Zuo, Z. Jia, J. Yang, N. Kasabov

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Visual background extraction is a method for detecting moving objects in video sequence images. In the traditional visual background extraction algorithm, ghost phenomena and dynamic background interference exist in the detection results. In order to speed up ghost removal and suppress the interference of dynamic background, an improved visual background extraction algorithm is proposed. In this method, secondary judgment is added to eliminate ghost pixel interference in the process of spatial transmission of pixels, and the flicker degree of pixels is analyzed to suppress the interference of dynamic background pixels. In order to improve the detection effect, the edge of moving object is obtained by edge detection method, then filled and fused with the detected object. Finally, the detection of moving object is optimized by means of median filtering and mathematical morphology. The simulation results show that the improved algorithm accelerate ghost removal, effectively suppresses the noise interference caused by dynamic background, and improves the accuracy of moving object detection.
Original languageEnglish
Pages (from-to)29663–29684
Number of pages22
JournalMultimedia Tools and Applications
Volume79
Early online date12 Aug 2020
DOIs
Publication statusPublished - 31 Oct 2020

Keywords

  • Moving object recognition
  • video analysis
  • visual background information extraction

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