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基于遗传算法的多目标识别实时系统设计 被引量：3

Design of Multi-Objects Real-Time Tracking System Based on Genetic Algorithms
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摘要 探讨在实时跟踪系统中多目标的快速识别问题.利用多帧相差法将运动目标与背景分离.根据不同区域的平均值.采用动态查表法进行二值化.对物体提取具有不变性的特征量.利用遗传算法的快速寻优能力,实现对多目标识别.实验表明该方法能够识别运动目标,并能够快速进行聚类判别. The detection and recognition about moving objects in video tracking system are presented in this paper. Moving objects are separated from the background by multi-frame difference. According to the average value in different area , the dynamic threshold can be found , and the image is transformed into binary one . Then some invariant characteristics are extracted and used for recognition by genetic algorithm . The experiment result shows the method can detect moving targets and cluster them quickly.
作者 杨淑莹 何丕廉
机构地区 天津大学计算机科学与技术学院
出处 《模式识别与人工智能》 EI CSCD 北大核心 2006年第3期325-330,共6页 Pattern Recognition and Artificial Intelligence
基金 天津市高等学校科技发展基金(No.020718)
关键词 识别 多帧差分 遗传算法 Recognition, Multi-Frame Difference, Genetic Algorithm
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献8

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共引文献23

同被引文献16

  • 1汪建业,饶瑞中,刘晓春.大气相干长度的对比实验研究[J].中国激光,2005,32(1):64-66. 被引量：22
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引证文献3

二级引证文献11

模式识别与人工智能
2006年 第3期

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