| 引用本文: | 张焱,张志龙,沈振康.一种融入运动特性的显著性特征提取方法.[J].国防科技大学学报,2008,30(3):109-115.[点击复制] |
| ZHANG Yan,ZHANG Zhilong,SHEN Zhenkang.A Salient Feature Extraction Algorithm Fusing the Motion Characteristic of Objects[J].Journal of National University of Defense Technology,2008,30(3):109-115[点击复制] |
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| 一种融入运动特性的显著性特征提取方法 |
| 张焱, 张志龙, 沈振康 |
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(国防科技大学 ATR实验室，湖南 长沙 410073)
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| 摘要: |
| 针对复杂背景下图像序列中运动目标的跟踪前检测问题，提出一种融入运动特性的显著性特征提取方法，该方法综合目标的灰度、细节和运动等形成稳健的显著性特征，并得到一组显著性特征提取图。在这组图像中，具有这种多特征的区域得到加强，其他区域受到抑制，从而能够轻松地检测出可引起人类视觉注意的运动目标。由于该算法中的显著性特征来源于目标的多种底层特性，因此该算法具有很强的稳健性。实验证明，这种方法具有较强的稳定性和实用性，抗干扰能力强。从视觉效果的角度出发，能够较大地提高运动目标在复杂背景中的信杂比。 |
| 关键词: 显著性 特征提取 目标检测 复杂背景 |
| DOI： |
| 投稿日期：2007-10-08 |
| 基金项目:国家部委预研基金资助项目(9140A21040306KG0195,9140C8002010704) |
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| A Salient Feature Extraction Algorithm Fusing the Motion Characteristic of Objects |
| ZHANG Yan, ZHANG Zhilong, SHEN Zhenkang |
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(ATR Lab, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| Focusing on the problem of moving object detecting before tracking in image sequences with complex background, a new salient feature extraction algorithm that fuses the motion characteristics of objects is proposed. The algorithm fuses the gray-level and the detail and motion of the objects to form a robust salient image. The regions with salient multi-features are enhanced and the others are restrained, so moving objects will easily be detected in the salient image. The salience of the objects in the algorithm is derived from the local difference of multi-bottom features of the image, so the algorithm is robust. The experimental results show that the new algorithm is practical and stable, and has the strong anti-jamming capacity. The visual effect of the experiments demonstrates that this method can improve the signal-clutter ratio. |
| Keywords: salience feature extraction detecting objects complex background |
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