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运动目标和背景的自动分割(英文)

AUTOMATIC SEGMENTATION OF MOVING OBJECT AND BACKGROUND 

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【作者】 詹劲峰; 戚飞虎; 赵雪春;

【Author】 ZHAN Jing Feng QI Fei Hu ZHAO Xue Chun (Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China)

【机构】 上海交通大学计算机科学与工程系!上海; 200030;

【摘要】 本文提出一种固定背景下的运动目标自动分割技术.首先,提出了一种新的运动变化检测方案.然后利用递归高阶统计的方法从高斯噪声中提取运动变化.同传统的高阶统计方法相比,递归高阶统计由于利用前n 帧的图像信息,所以能够更有效地抑制噪声,检测小目标,并且分割效果较好.

【Abstract】 A moving object detection method in video sequence was proposed, which is considered a fixed camera model. Firstly, a new method was presented for detection of changes of motion. After the change detection, the recursive higher order mothod was used to extract the change from the Gaussian noise. Compared with the classical higher order statistics method, the recursive higher order statistics method uses the former n images information, so it can obtain better estimates of HOS to reduce the effect of additive noise and detect the small object and perform well on segmetation.

【基金】 国家自然科学基金
  • 【文献出处】 红外与毫米波学报 ,JOURNAL OF INFRARED AND MILLIMETER WAVES , 编辑部邮箱 ,1999年05期
  • 【分类号】TN911.73
  • 【被引频次】3
  • 【下载频次】110
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