| 动态背景中基于特征点引导的动目标快速检测方法 |
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| 引用本文： | 喻夏琼,陈向宁.动态背景中基于特征点引导的动目标快速检测方法[J].兵工自动化,2011,30(1):60-65. |
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| 作者姓名： | 喻夏琼 陈向宁 |
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| 作者单位： | 装备指挥技术学院研究生管理大队;装备指挥技术学院光电装备系; |
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| 基金项目： | 863项目(2007AA701516-1) |
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| 摘 要： | 为解决传统方法的不足，提出一种新方法实现动态背景中运动目标的快速检测。充分利用图像的特征点信息，对传统的SSDA算法进行改进，实现视频序列相邻帧间的配准。在经过配准的帧间，利用特征点及其邻域的灰度信息求取小窗口的灰度差的总和，则匹配误差较大的特征点必处在动目标区域，据此检测出运动目标的位置。实验证明，该算法具有简单、快速的优点，可用于动态背景中的动目标检测，也可用于图像的变化检测。
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| 关 键 词： | 动目标检测 运动背景 图像匹配 序列相似性检测算法 Harris算子 强角点 |
| 收稿时间： | 2013/1/14 0:00:00 |
Efficient Algorithm Based on Image Features for Moving Objects Detection in Dynamic Background |
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| Yu Xiaqiong,Chen Xiangning.Efficient Algorithm Based on Image Features for Moving Objects Detection in Dynamic Background[J].Ordnance Industry Automation,2011,30(1):60-65. |
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| Authors: | Yu Xiaqiong Chen Xiangning |
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| Affiliation: | Yu Xiaqiong1,Chen Xiangning2(1.Administrant Brigade of Postgraduate,Institute of Command & Technology of Equipment,Beijing 101416,China,2.Dept.of Photoelectric Equipment,China) |
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| Abstract: | A new efficient algorithm for moving objects detection in dynamic background was put forward.Registration between consecutive frames was performed by using an improved SSDA algorithm based on full use of image features.After registration between frames,sum of absolute difference of pixel intensity between consecutive frames in range of every feature and its neighboring window was calculated and the position of moving objects was determined according to the rule that the feature from moving regions shows a l... |
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| Keywords: | moving object detection moving background image registration SSDA Harris detector power angle point |
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