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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Satoh, Y. Sakaue, K. |
| Copyright Year | 2005 |
| Description | Author affiliation: Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba (Satoh, Y.; Sakaue, K.) |
| Abstract | Background subtraction algorithms are widely utilized as a technology for segmentation of background and target objects in images. In particular, the simple background subtraction algorithm is used in many systems for its ease and low cost of implementation. However, because this algorithm relies only on the intensity difference, it has various problems, such as low tolerance for poor illumination and shadows and the inability to distinguish objects from their background when their intensities are similar. In an earlier study we proposed a new statistic, known as radial reach correlation (RRC), for distinguishing similar areas and dissimilar areas when comparing background images and target images at the pixel level. And we achieved a robust background subtraction by evaluating the local texture in images. In this study we extended this method further and developed a method to ensure stable background separation even in cases where the image texture is feeble and the intensity distribution is biased. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1957013 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780393112 |
| DOI | 10.1109/TENCON.2005.301028 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-11-21 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Lighting Layout Image segmentation Image texture Humans Object detection Brightness Image edge detection Image color analysis |
| Content Type | Text |
| Resource Type | Article |
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