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Alternative TitleResearch on ship detection and tracking algorithm in infrared sequence images
Thesis Advisor向伟
Keyword目标检测 行列均值分割 目标跟踪 Meanshift Harris
Call NumberTN911.73/S96/2017
Degree Discipline模式识别与智能系统
Degree Name硕士
Degree Grantor中国科学院沈阳自动化研究所
Place of Conferral沈阳
Other AbstractAutomatic detection and tracking of ship targets at sea is one of the core techniques of infrared imaging guidance. In this paper, based on a certain infrared imaging and tracking system, an algorithm for detection and tracking of infrared ship targets is carried out for engineering applications. The research of this subject has a certain practical value and significance for increasing the acquisition probability of the ship and improving the guidance precision of the system.. The main work is as follows: In the aspect of target detection, through the analysis of ship infrared image characteristics in the sea background, a segmentation method combining edge growth with row and column mean segmentation is proposed based on the existing row and column mean segmentation algorithm. It uses image gray feature and gradient feature to segment the region of interest, which can greatly improve the problem of smaller area of segmentation caused by uneven distribution of ship's internal gray level, and improve the accuracy of ship detection. In the aspect of target tracking, After studying several mainstream tracking algorithms of MeanShift, Particle Filter and Kernel Correlation Filters, a tracking algorithm based on multi-feature adaptive scale MeanShift tracking and Harris corner matching is proposed. It distinguishes the appropriate algorithm based on the effective number of Harris corner matching points, and improves the tracking accuracy and stability under various environmental conditions. In the implementation of the fusion algorithm, an accurate extraction method of target boundary based on average gray level search is proposed. It can realize the precise location of the target boundary, adjust the window scale adaptively with the change of the shape of the target, and improve the tracking accuracy of multi-feature adaptive scale MeanShift and Harris corner matching algorithm. This algorithm has been successfully applied to a certain infrared imaging and tracking system, and it has achieved very good results in automatic detection and tracking of ship targets at sea.
Contribution Rank1
Document Type学位论文
Recommended Citation
GB/T 7714
孙健. 红外序列图像中舰船检测与跟踪算法研究[D]. 沈阳. 中国科学院沈阳自动化研究所,2017.
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红外序列图像中舰船检测与跟踪算法研究.p(2162KB)学位论文 开放获取CC BY-NC-SAApplication Full Text
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