| 基于Camshift的多特征自适应融合船舶跟踪算法 |
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| 引用本文： | 云霄,肖刚.基于Camshift的多特征自适应融合船舶跟踪算法[J].光电工程,2011,38(5):52-58. |
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| 作者姓名： | 云霄 肖刚 |
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| 作者单位： | 上海交通大学航空航天学院; |
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| 基金项目： | 国家自然科学基金(60904096); 航空科学基金(20095557010); 上海市城市建设设计研究院基金 |
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| 摘 要： | 基于航道内船舶监控图像序列的多目标跟踪技术是开展船撞主动预警,提升桥区船舶通航安全的前提.基于颜色直方图的Camshift跟踪算法在复杂气象条件下无法得到准确的跟踪结果,本文提出了一种多特征自适应融合的多目标跟踪算法.该算法的目标模型由颜色、形状及纹理多特征自适应融合实现,增加了描述目标模型的可靠性和鲁棒性;在跟踪目标...
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| 关 键 词： | 颜色:形状 纹理 Camshift 船舶跟踪 |
Camshift Ship Tracking Algorithm Based on Multi-feature Adaptive Fusion |
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| YUN Xiao,XIAO Gang.Camshift Ship Tracking Algorithm Based on Multi-feature Adaptive Fusion[J].Opto-Electronic Engineering,2011,38(5):52-58. |
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| Authors: | YUN Xiao XIAO Gang |
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| Affiliation: | YUN Xiao,XIAO Gang ( School of Aeronautics and Astronautics,Shanghai JiaoTong University,Shanghai 200240,China ) |
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| Abstract: | Multi-target tracking based on vessel image sequences monitored on waterway is the premise of carrying out the vessel active warning and improving bridge-area ship navigation safety. Accurate tracking results are unable to be obtained by traditional Camshift tracking only based on color histogram under complex weather conditions. For this reason, a Camshift ship tracking algorithm based on color, shape and texture multi-feature adaptive fusion is proposed. In this method, the target model is realized by mul... |
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| Keywords: | color shape texture Camshift ship tracking |
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