Background compensation for pan-tilt-zoom cameras using 1-D feature matching and outlier rejection

Jae Kyu Suhr, Ho Gi Jung, Gen Li, Seung In Noh, Jaihie Kim

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


This letter proposes an efficient and robust background compensation method for pan-tilt-zoom cameras. The proposed method approximates the relation between consecutive images to a three-parameter similarity transformation, which is separable in horizontal and vertical axes, and extracts and matches 1-D features that are local minima and maxima of intensity projection profiles in each axis. These correspondences are used to estimate transformation parameters via an outlier rejection approach. Experimental results show that the proposed method is more robust with respect to blurring effects and moving object proportion while dramatically decreasing computational costs compared to previous methods.

Original languageEnglish
Article number5604674
Pages (from-to)371-377
Number of pages7
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number3
Publication statusPublished - 2011 Mar

Bibliographical note

Funding Information:
Manuscript received June 26, 2009; revised January 26, 2010 and April 10, 2010; accepted June 2, 2010. Date of publication October 18, 2010; date of current version March 23, 2011. This work was supported by the National Research Foundation of Korea through the Biometrics Engineering Research Center at Yonsei University [R112002105070020(2010)]. This paper was recommended by Associate Editor C. N. Taylor.

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering


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