计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 150-152.

• 模式识别与图像处理 • 上一篇    下一篇

一种快速有效的机载目标识别算法

潘铭星,孙涵   

  1. 南京航空航天大学计算机科学与技术学院 南京210016;南京航空航天大学计算机科学与技术学院 南京210016
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61203246),江苏省“青蓝工程”,南京航空航天大学基本科研业务费(NZ2013002)资助

Fast and Efficient Algorithm for Airborne Target Recognition

PAN Ming-xing and SUN Han   

  • Online:2018-11-14 Published:2018-11-14

摘要: 针对机载三维运动、复杂场景下特定目标识别困难的问题,提出了一种快速有效的算法。先采用基于颜色的目标检测技术,快速实现目标兴趣区域的粗定位;然后根据链码跟踪方法提取兴趣区域的特征;再根据样本视频总结归纳出的决策规则对兴趣区域的特征进行判断;最终实现特定目标的识别。实验表明,新算法速度快,实用性强,适合实时处理。

关键词: 兴趣区域,链码,特征值,决策树,无人机 中图法分类号TP391.4文献标识码A

Abstract: Because the target recognition is very difficult under the complex scene and with 3D motion of airplane,a fast and efficient algorithm was proposed.First using a color-based object detection method,the coarse positions of region of interest(ROI) are achieved quickly.Then the features of ROI are extracted according to chain code tracing method.And then the decision rules for special targets are concluded based on sample video,and are used to judge whether each ROI is the true target.Finally the recognition for special targets detection is realized.Experiments also show that the new algorithm is fast,practical and suitable for real-time processing.

Key words: Region of interest,Chain code,feature,Decision tree,UAV

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