The accurate extraction and tracking of moving objects for video surveillance

Jiang Bin Zheng, David Dagan Feng, Wan Chi Siu, Yan Ning Zhang, Xiu Ying Wang, Rong Chun Zhao

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

6 Scopus citations

Abstract

In this paper, an accurate extraction approach and an effective tracking algorithm for moving objects are proposed. We first describe our extraction algorithm, which can extract objects precisely by using the mixed differences between adaptive background estimation and the two adjacent frames. Then we design a tracking algorithm, in which we use several IIR filters to predict the moving objects position and improve efficiency of the objects matching by using the moving objects temporal image and extracting results. The proposed tracking algorithm can track the objects accurately even if the objects are in the process of acceleration and have slight deformations. The efficiency of the proposed algorithms is demonstrated by several experiments given in this paper.

Original languageEnglish
Title of host publicationProceedings of 2002 International Conference on Machine Learning and Cybernetics
Pages1909-1913
Number of pages5
StatePublished - 2002
EventProceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, China
Duration: 4 Nov 20025 Nov 2002

Publication series

NameProceedings of 2002 International Conference on Machine Learning and Cybernetics
Volume4

Conference

ConferenceProceedings of 2002 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityBeijing
Period4/11/025/11/02

Keywords

  • Moving objects extracting
  • Objects tracking
  • Video surveillance

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