التفاصيل البيبلوغرافية
| العنوان: |
Shadow Model Construction with Features Robust to Illumination Changes. |
| المؤلفون: |
Ishida, Shuya, Shinji Fukui, Yuji Iwahori, Bhuyan, M. K., Woodham, Robert J. |
| المصدر: |
Proceedings of the World Congress on Engineering & Computer Science 2013 Volume III; Jul2013, Vol. 1, p1-6, 6p |
| مصطلحات موضوعية: |
COMPUTER vision, IMAGE processing, STATISTICAL correlation, MATHEMATICAL models, FEATURE extraction, ROBUST control, LIGHTING |
| مستخلص: |
Computer vision methods need to deal with shadows explicitly because shadows often have a negative effect on the results computed. A new shadow detection method is proposed. The new method is based on a shadow model. The model is constructed by features robust to illumination changes. The method uses four features: (1) the difference of the UV components of the YUV color space between the background image and the observed image; (2) Normalized Vector Distance; (3) Peripheral Increment Sign Correlation image; and edge information. Each of these features removes shadow effects, in part. The overall method can construct an effective shadow model by using all of the features. The result is improved further by region based analysis and by online update of the shadow model. The proposed method extracts shadows accurately. Results are demonstrated by experiments using the real videos of outdoor scenes. [ABSTRACT FROM AUTHOR] |
|
Copyright of Proceedings of the World Congress on Engineering & Computer Science 2013 Volume III is the property of Newswood Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Supplemental Index |
