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摘要: 首先将一种新的基于颜色空间模型的阈值化方法用于背景减法中. 该阈值化方法利用每个像素的颜色畸变和亮度畸变检测出场景中所有的运动, 其中像素的颜色畸变检测考虑了颜色向量所处的空间位置; 同时该阈值化方法在一定程度上抑制了运动阴影的影响. 其次, 将一种双阈值化方法用于背景减法中, 实现了复杂场景下前景目标的提取. 通过VSSN 05和PETS 2006测试视频的实验, 验证了本文提出算法的有效性.Abstract: A novel thresholding approach is proposed based on color space model and is embedded into background subtraction. This thresholding approach uses the color distortion and brightness distortion of each pixel to detect the changes in the background. The color distortion is detected by utilizing the position information of color vector in color space. Moreover, this thresholding method is also helpful for removing the moving shadows to some extent. For complex background, a dual-threshold method is proposed in background subtraction to extract object from videos containing complex background. Experimental results on the videos of VSSN 05 and PETS 2006 show the effectiveness of the proposed algorithm.
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Key words:
- Background subtraction /
- thresholding approach /
- color space model /
- hysteresis threshold
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