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复杂背景下运动目标的智能检测方法 被引量:3

RESEARCH ON ALGORITHM OF INTELLIGENT DETECTION FOR MOVING OBJECTS IN COMPLICATED BACKGROUND
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摘要 提出了利用Otsu法和数学形态法进行三帧差分图分割的运动检测方法,对单个或多个运动物体检测效果都良好。此运动检测方法简单、速度快、自适应性强,适于硬件实现,且不要求保存过去的测量数据,需要较少的内存,符合了嵌入式系统的开发要求。实验证明,本检测方法具有较强的稳健性和鲁棒性。 A motion detection method is presented, which uses Otsu and mathematical morphology for segmentation of three-frame difference images. It has good effect on one or multiple moving objects. This method is easy, fast and self-adaptive, and it is adapted for hardware implementation. Further more, it does not need former data and needs few memory, so it accords with requirement of embedded system. Experiment proves that this motion detection method has the characteristics of good tolerance and applicability.
出处 《计算机应用与软件》 CSCD 北大核心 2008年第1期213-214,272,共3页 Computer Applications and Software
关键词 差分图 OTSU 数学形态法 嵌入系统 Difference image Otsu Mathematical morphology Embedded system
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