Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Research on the robust illumination of the likelihood similarity function in tracking target | |
Di, N.; M. Zhu and G.-L. Han | |
2015 | |
发表期刊 | Ruan Jian Xue Bao/Journal of Software
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卷号 | 26期号:1页码:52-61 |
摘要 | Real-Time tracking low-contrast target in the complex environment is a key problem in the visual area. The algorithm needs to not only copy with the high similar between target and background, revolution, scale variations and target occlusions but also satisfy the real-time tracking. This paper provides a method based on the likelihood similarity function to resolve the low-contrast tracking. In the model construction phase, the new method uses the single peak of the pyramid surface equation to enhance the target information. In the model matching phase, it innovates a new likelihood similarity function which provides more distinguishable measurements than the traditional one. Finally, the tracking process transforms to the maximum likelihood estimate. The algorithm is applied in the TMS320C6416 hardware system and successfully copes with the low contrast (LSCR=4.9) airplane in the cluster background. A series of experiments results show that the lowest limitation of tracking the target by the proposed method is about 3 (LSCR value). 2015 ISCAS. |
文章类型 | 期刊论文 |
收录类别 | EI |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/56345 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Di, N.,M. Zhu and G.-L. Han. Research on the robust illumination of the likelihood similarity function in tracking target[J]. Ruan Jian Xue Bao/Journal of Software,2015,26(1):52-61. |
APA | Di, N.,&M. Zhu and G.-L. Han.(2015).Research on the robust illumination of the likelihood similarity function in tracking target.Ruan Jian Xue Bao/Journal of Software,26(1),52-61. |
MLA | Di, N.,et al."Research on the robust illumination of the likelihood similarity function in tracking target".Ruan Jian Xue Bao/Journal of Software 26.1(2015):52-61. |
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似然相似度函数在目标跟踪中的鲁棒机理研究(1150KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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