Novel tacking algorithm for video surveillance

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A novel moving objects tracking algorithm is proposed. The tracking speed is raised by virtue of predicting the position that a moving object arrives at the next time and reducing the search region. In the tracking algorithm, an acceleration equation is calculated for estimating the new position of a moving object, and an error formula of predictive position is used to adjust the moving object search region automatically. In order to predict the future position accurately and simplify computation complexity, by using IIR filters, several motion parameters such as velocity and acceleration are updated adaptively each frame. Several experiments are given to show that the proposed algorithm can improve object tracking speed by means of predicting a moving object position and reducing search region even if this moving object undergoes accelerated motion.

Original languageEnglish
Pages (from-to)1991-1993
Number of pages3
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume29
Issue number11
StatePublished - Nov 2007

Keywords

  • Moving objects tracking
  • Position prediction
  • Video surveillance

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