Presentation | 2005-03-17 Robust Background Subtraction by Bi-polar Radial Reach Correlation Yutaka SATOH, Katsuhiko SAKAUE, |
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Abstract(in English) | The background subtraction algorithm is a frequently-used object segmentation technique because of its algorithmic simplicity. Especially, simple background subtraction has been used because of its low processing costs and ease of implementation. However, the method is susceptible to illumination change such as shadows, and when the brightness differences between objects and the background are small, it cannot detect the difference. In order to resolve these problems, we have proposed a novel algorithm for robust object detection and segmentation, which is based on a new robust dissimilarity measure called as Radial Reach Correlation(RRC). The RRC evaluates a local texture between a background image and a current scene to realize robust object detection under poor conditions. This time, we have improved the method to make it more reliable, especially when the image has a weak texture. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | background subtraction / segmentation / texture / robust statistics |
Paper # | TL2004-56,PRMU2004-224 |
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Committee | TL |
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Conference Date | 2005/3/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Thought and Language (TL) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Robust Background Subtraction by Bi-polar Radial Reach Correlation |
Sub Title (in English) | |
Keyword(1) | background subtraction |
Keyword(2) | segmentation |
Keyword(3) | texture |
Keyword(4) | robust statistics |
1st Author's Name | Yutaka SATOH |
1st Author's Affiliation | Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology(AIST)() |
2nd Author's Name | Katsuhiko SAKAUE |
2nd Author's Affiliation | Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology(AIST) |
Date | 2005-03-17 |
Paper # | TL2004-56,PRMU2004-224 |
Volume (vol) | vol.104 |
Number (no) | 739 |
Page | pp.pp.- |
#Pages | 6 |
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