节点文献
基于形状外观的运动船只识别与跟踪技术研究
Maritime Objects Recognition and Tracking Based on Shape Appearance
【作者】 王明芬；
【导师】 李翠华；
【作者基本信息】 厦门大学 ， 计算机应用技术， 2008， 硕士
【摘要】 海面运动目标检测、识别与跟踪技术在海防安全、海关管理、海上缉私以及港口船只调度等场合都有比较重要的用途。海面上来往船只碰撞的预警、报警以及识别海面运动目标的类别,这些对海上安全有着重要的应用意义。本文主要进行海面运动船只的识别与跟踪技术的研究和应用。首先概述了海上运动目标检测和跟踪的研究与发展现状;对目前主要的运动目标识别和跟踪方法进行了简要论述;对基于形状特征匹配的识别方法进行了深入的研究和应用;利用CamShift算法对运动目标进行了跟踪。本文的主要研究工作和创新点包括以下几点:1、对图像边缘特征检测算法进行了深入研究,提出了一种基于自适应阈值的SUSAN边缘检测算法,该算法对每个模板都计算自适应阈值,克服了传统的SUSAN算子对灰度细节丰富的图像检测效果会不够理想的情况。2、深入研究了目标的形状特征,并用形状上下文描述目标的特征,提出了采用两级递推由粗到细的识别方式,在粗匹配阶段用形状距离来描述目标模型和船只图像整体形状上的相似性快速找出候选目标,再进行基于TPS变形模板的细匹配过程,从而实现形状最佳匹配意义上的快速准确目标识别。3、对CamShift方法进行了深入研究并把它应用于海面船只跟踪系统中,在识别出目标船只后,利用Hue信息对船只区域建立色彩直方图,对后续帧利用该信息采用CamShift对船只区域进行跟踪,也可以进行多目标的跟踪。
【Abstract】 Maritime objects detection、recognition and Tracking technologies are very useful in many areas, such as coastal defense、customs management、marine anti-smuggling、port scheduling and other occasions. Early warning、alarm of sea collision between vessels and identify the types of moving targets in the sea, all of these have important application.This thesis presents a method of ship identification and tracking technology. First, it describes current development status of maritime moving target detection and tracking research ,then outlines some methods of ships identification and tracking; We carry up a deep research into the ship recognition based on the shape feature matching and track the ship by CamShift algorithm. The main research innovations and contributions are summarized as follows:1、The paper proposes an adaptive threshold of SUSAN method. Threshold is calculated in every single SUSAN template, which makes it overcome the dissatisfactory results of traditional SUSAN operator.2、We carry up a deep research into shape feature matching. Shape context is used to describe shape points. Then a two-stage recursive algorithm for recognition is proposed. At rough matching stage, shape distance is used to describe similarity of two targets and quickly construct a small set of candidate targets. At detail matching stage, we implement it using iteration of correspondence through shape context matching and deformation using TPS model.3、We explore the CamShift algorithm and put it into the ship tracking system. We build the hue histogram on the identified ship region and then track it using the CamShift algorithm in the following frames. And the CamShift algorithm can be applied to track multiple ships simultaneously.