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题名:
Star-point moving target detection and tracking on star space background
作者: Sun, Kelin1,2,3; Zhou, Weichao4; Wu, Qinzhang4; Yu, Jian4
刊名: International Journal of Digital Content Technology and its Applications
出版日期: 2012
卷号: 6, 期号:5, 页码:124-132
学科分类: Algorithms - Image segmentation - Least squares approximations - Stars - Trajectories
DOI: 10.4156/jdcta.vol6.issue5.15
通讯作者: Sun, K. (colin7612@126.com)
文章类型: 期刊论文
中文摘要: For the condition where star-point target detection and tracking real-time. This paper proposed a method of star-point target detection and tracking. The method includes two major steps, target detection and target tracking. In the detection stage, based on difference of inter-frame image in sequences, an adaptive threshold has designed. After morphological filtering and regional connectivity for segment image, using centroid extraction method to identify targets quickly. In the tracking stage, for the characteristic of star point target's movement is linearity, the tracking method using least squares algorithm to estimate target's moving trajectory. Based on recording target's moving trajectory, an algorithm of estimating moving step length has proposed, it forecast targets' centroid coordinate real-time. To track targets in accurate, a doubting grade checkout method has proposed too. The complete set of proposed methods used to apply in real star space sequence image. Extensive experiment results shows that, the methods are efficient, and it meets the requirement of detecting moving star-point target out of cluttered background real-time.
英文摘要: For the condition where star-point target detection and tracking real-time. This paper proposed a method of star-point target detection and tracking. The method includes two major steps, target detection and target tracking. In the detection stage, based on difference of inter-frame image in sequences, an adaptive threshold has designed. After morphological filtering and regional connectivity for segment image, using centroid extraction method to identify targets quickly. In the tracking stage, for the characteristic of star point target's movement is linearity, the tracking method using least squares algorithm to estimate target's moving trajectory. Based on recording target's moving trajectory, an algorithm of estimating moving step length has proposed, it forecast targets' centroid coordinate real-time. To track targets in accurate, a doubting grade checkout method has proposed too. The complete set of proposed methods used to apply in real star space sequence image. Extensive experiment results shows that, the methods are efficient, and it meets the requirement of detecting moving star-point target out of cluttered background real-time.
收录类别: Ei
语种: 英语
ISSN号: 19759339
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/4401
Appears in Collections:光电探测技术研究室(三室)_期刊论文

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作者单位: 1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
2. University of Electronic Science and Technology of China, Chengdu 610054, China
3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
4. Institute of Optics and Electronics Chinese Academy of Sciences, Chengdu 610209, China

Recommended Citation:
Sun, Kelin,Zhou, Weichao,Wu, Qinzhang,et al. Star-point moving target detection and tracking on star space background[J]. International Journal of Digital Content Technology and its Applications,2012,6(5):124-132.
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