Abstract
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 language | English |
|---|---|
| Article number | 5604674 |
| Pages (from-to) | 371-377 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Circuits and Systems for Video Technology |
| Volume | 21 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 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