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| 室内夜间微弱光源下运动目标检测和阴影去除 | |
| 引用本文： | 刘景波,秦娜,金炜东.室内夜间微弱光源下运动目标检测和阴影去除[J].中国激光,2008,35(s2):341-344. |
| 作者姓名： | 刘景波 秦娜 金炜东 |
| 作者单位： | 刘景波:西南交通大学电气工程学院, 四川 成都 610031 秦娜:西南交通大学电气工程学院, 四川 成都 610031 金炜东:西南交通大学电气工程学院, 四川 成都 610031 |
| 摘 要： | 提出一种新的室内夜间微弱光源照明情况下的运动目标检测方法。首先进行背景建模, 获取稳固的背景图像, 之后对背景和当前帧图像进行图像增强处理, 提高其清晰度; 采用相对背景减法检测前景运动目标, 并对差分图像进行去噪和修补; 利用前景目标区域、阴影区域和背景区域像素亮度值存在差异的特点, 检测和去除背景差分图像中可能存在的阴影, 获得准确的运动目标。在室内夜间环境下采集视频进行试验, 结果验证了所提方法的有效性。 |
| 关 键 词： | 图像处理 运动目标检测 背景减 微弱光源 阴影去除 |
Moving Object Detection and Shadow Elimination in Indoor Night Environment with Weak Lighting |
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| Abstract: | A novel object detection algorithm is proposed for moving object detection under weak lighting. Firstly, background model is trained for obtaining steady background image. Definition of the background and current frame image are improved by image enhancement processing. Secondly, foreground objects is got by background subtracting method and the difference image is de-noised and mended. Finally, shadow in difference image is eliminated and exact moving object is got by different brightnessly between foreground, shadow and background. The effectiveness of the proposed method is demonstrated experimentally with several video clips collected in a indoor night environment. |
| Keywords: | image processing moving object detection background subtraction weak lighting shadow elimination |