| 会议电视图像序列中的运动目标分割 |
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| 引用本文： | 詹劲峰,戚飞虎,申崇江.会议电视图像序列中的运动目标分割[J].上海交通大学学报,2000,34(7):991-993. |
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| 作者姓名： | 詹劲峰 戚飞虎 申崇江 |
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| 作者单位： | 1. 上海交通大学,计算机科学与工程系,上海,200030
2. 上海交通大学,图像通信与信息处理研究所,上海,200030 |
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| 摘 要： | 提出了基于递归高阶阶段的运动目标分割方案，主要用于会议电视图像序列，与传统的高阶统计方法相比，基于递归高阶统计的分割方法从高斯噪声背景中提取信息，由于利用了前ｎ帧图像的信息冗余度，递归高阶统计方法可以更有效地减少噪声，检测小目标，并且提高了目标的分割准确度，模拟试验结果显示，分割结果较好。
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| 关 键 词： | 图像分割 会议电视图像序列 运动目标分割 |
Moving Object Segmentation in Videoconference Sequence |
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| ZHAN Jin-feng,QI Fei-hu,SHEN Chong-jiang.Moving Object Segmentation in Videoconference Sequence[J].Journal of Shanghai Jiaotong University,2000,34(7):991-993. |
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| Authors: | ZHAN Jin-feng QI Fei-hu SHEN Chong-jiang |
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| Abstract: | This paper proposed a moving object segmentation method based on recursive high order statistics(HOS) used in videoconference sequence. The recursive high order statistics method can extract the signal from Gaussian noise. Because of using the former n image information, it can obtain such better estimates of HOS as the reduction of additive noise, detection of the small object and well performance of the segmentation compared with the classical higher order statistics method. The simulation test indicates the segmentation results are good. |
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| Keywords: | image segmentation image compression recursive higher-order statistics morphology filter-ing |
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