Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance

Chia Hung Yeh, Chih Yang Lin, Kahlil Muchtar, Hsiang Erh Lai, Ming Ting Sun

Research output: Contribution to journalArticlepeer-review

Abstract

Moving object extraction is the core of event detection in video surveillance. Although many related methods have been proposed to extract moving objects, even advanced applications still encounter cavity problems, which are false detection and deficiencies resulting from cavities inside the body or fragmented foreground objects. In this paper, an entirely new structure for extracting moving objects is proposed. This scheme is based on the concepts of hysteresis thresholding and motion compensation, which constitute spatial and temporal compensations, respectively. Experimental results show that the proposed scheme can outperform modern moving object detection methods in terms of precision, recall, F-measure, and other measurements.

Original languageEnglish
Article number7857105
Pages (from-to)4945-4955
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume64
Issue number6
DOIs
Publication statusPublished - 2017 Jun

Keywords

  • Background modeling
  • hysteresis thresholding
  • mixture of Gaussians
  • motion compensation
  • video surveillance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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