Robust Background Subtraction for Quick Illumination Changes
Robust Background Subtraction for Quick Illumination Changes
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DOI：
10.1007/11949534_126
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发表时间：
2006-12
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影响因子：
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通讯作者：
S. Fukui;Y. Iwahori;H. Itoh;H. Kawanaka;R. Woodham
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文献类型：
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作者：
S. Fukui;Y. Iwahori;H. Itoh;H. Kawanaka;R. Woodham
提出了一种从彩色视频序列中提取运动目标的新方法。该方法对观测图像中的噪声和强度变化都具有鲁棒性。通过生成从原始背景图像到当前图像的转换表来估计当前背景图像。然后，通过背景差分法提取运动目标区域。使用彩色比以前只使用单色数据的方法提供更准确的检测。彩色图像增加了计算负荷。该方法通过使用GPU的吞吐量来解决这个问题。结果表明，与实验上的真实的数据。
This paper proposes a new method to extract moving objects from a color video sequence. The proposed method is robust to both noise and intensity changes in the observed image. A present background image is estimated by generating conversion tables from the original background image to the present image. Then, the moving object region is extracted by background subtraction. Using color gives more accurate detection than a previous method which used only monochrome data. Color images increase the computational load. The method addresses this problem by using the GPU’s throughput. Results are demonstrated with experiments on real data.