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Hybrid moving object detection system based on key frame extraction

  • Yu Du*
  • , Xueyao Wang
  • , Shi Ting Wang
  • , Shuangshuang Xue
  • , Zengchang Qin
  • *Corresponding author for this work
  • School of ASEE
  • Beihang University
  • Carnegie Mellon University

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

Abstract

In this paper we construct a hybrid moving object detection system. In this system, we first use the frame difference method to extract key frames in a given video sequence, then use the optical flow method and the HSV background subtraction method to extract the moving objects, respectively. We propose two hybrid methods: Improved Optical Flow method and Improved HSV Background Subtraction method. Experimental results have shown that our proposed system has strong robustness and be effective to detect moving objects in various conditions. We also introduce a human-computer interaction tool for selecting the focus area for users. This system will largely benefit for real-world video surveillance applications.

Original languageEnglish
Title of host publicationProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages441-445
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
Duration: 21 Jun 201123 Jun 2011

Publication series

NameProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Conference

Conference2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/TerritoryChina
CityBeijing
Period21/06/1123/06/11

Keywords

  • frame difference method
  • improved HSV background subtraction method
  • improved optical flow method
  • key frame
  • moving object detection

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