脂质转移蛋白(Lipid transfer protein, LTP)是一类在植物细胞中普遍存在的小分子转运蛋白,主要负责脂类的转运和各种生化反应产物的输送。本研究在前期鉴定到的谷子干旱胁迫响应基因SiLTP1、并获得该基因的谷子阳性转基因株系的基础上...脂质转移蛋白(Lipid transfer protein, LTP)是一类在植物细胞中普遍存在的小分子转运蛋白,主要负责脂类的转运和各种生化反应产物的输送。本研究在前期鉴定到的谷子干旱胁迫响应基因SiLTP1、并获得该基因的谷子阳性转基因株系的基础上,对盐胁迫下其脂质组学进行分析。通过GC-MS检测,显示双半乳糖基二酰甘油(DGDG)和单半乳糖基二酰甘油(MGDG)在谷子品种Ci846和过表达SiLTP1株系幼苗中的含量最高。在200 mmol·L^(-1)的NaCl处理后,过表达SiLTP1的谷子幼苗叶片中DGDG/MGDG的含量较Ci846的高。同时,磷脂酰甘油(PG)和甘油二脂(DG)等脂质分子的含量也有所增加。基于以上结果,显示脂质转移蛋白可通过调控磷脂和脂类分子等在SiLTP1过表达谷子幼苗中的含量,进而参与谷子盐胁迫响应。本研究为系统解析脂质转移蛋白参与谷子盐胁迫响应的机制、进而培育谷子耐盐品种提供了理论依据及候选基因资源。展开更多
Background subtraction is a challenging problem in surveillance scenes. Although the low-rank and sparse decomposition(LRSD) methods offer an appropriate framework for background modeling, they fail to account for ima...Background subtraction is a challenging problem in surveillance scenes. Although the low-rank and sparse decomposition(LRSD) methods offer an appropriate framework for background modeling, they fail to account for image's local structure, which is favorable for this problem. Based on this, we propose a background subtraction method via low-rank and SILTP-based structured sparse decomposition, named LRSSD. In this method, a novel SILTP-inducing sparsity norm is introduced to enhance the structured presentation of the foreground region. As an assistance, saliency detection is employed to render a rough shape and location of foreground. The final refined foreground is decided jointly by sparse component and attention map. Experimental results on different datasets show its superiority over the competing methods, especially under noise and changing illumination scenarios.展开更多
针对现有视频监控系统智能化的视频分析功能不足的问题,利用海康监控系统的SDK开发包,获取实时视频流,并结合码本和尺度不变局部三元模式(scale invariant local ternary pattern,SILTP)纹理描述符构建背景模型,进行了移动目标检测和跟...针对现有视频监控系统智能化的视频分析功能不足的问题,利用海康监控系统的SDK开发包,获取实时视频流,并结合码本和尺度不变局部三元模式(scale invariant local ternary pattern,SILTP)纹理描述符构建背景模型,进行了移动目标检测和跟踪研究。实验结果表明,与现有系统相比,该方法检测到的目标完整充实,能够获得目标的轮廓与轨迹,有效提升了原有监控系统的性能。展开更多
文摘脂质转移蛋白(Lipid transfer protein, LTP)是一类在植物细胞中普遍存在的小分子转运蛋白,主要负责脂类的转运和各种生化反应产物的输送。本研究在前期鉴定到的谷子干旱胁迫响应基因SiLTP1、并获得该基因的谷子阳性转基因株系的基础上,对盐胁迫下其脂质组学进行分析。通过GC-MS检测,显示双半乳糖基二酰甘油(DGDG)和单半乳糖基二酰甘油(MGDG)在谷子品种Ci846和过表达SiLTP1株系幼苗中的含量最高。在200 mmol·L^(-1)的NaCl处理后,过表达SiLTP1的谷子幼苗叶片中DGDG/MGDG的含量较Ci846的高。同时,磷脂酰甘油(PG)和甘油二脂(DG)等脂质分子的含量也有所增加。基于以上结果,显示脂质转移蛋白可通过调控磷脂和脂类分子等在SiLTP1过表达谷子幼苗中的含量,进而参与谷子盐胁迫响应。本研究为系统解析脂质转移蛋白参与谷子盐胁迫响应的机制、进而培育谷子耐盐品种提供了理论依据及候选基因资源。
基金supported in part by the EU FP7 QUICK project under Grant Agreement No.PIRSES-GA-2013-612652*National Nature Science Foundation of China(No.61671336,61502348,61231015,61671332,U1736206)+3 种基金Hubei Province Technological Innovation Major Project(No.2016AAA015,No.2017AAA123)the Fundamental Research Funds for the Central Universities(413000048)National High Technology Research and Development Program of China(863 Program)No.2015AA016306Applied Basic Research Program of Wuhan City(2016010101010025)
文摘Background subtraction is a challenging problem in surveillance scenes. Although the low-rank and sparse decomposition(LRSD) methods offer an appropriate framework for background modeling, they fail to account for image's local structure, which is favorable for this problem. Based on this, we propose a background subtraction method via low-rank and SILTP-based structured sparse decomposition, named LRSSD. In this method, a novel SILTP-inducing sparsity norm is introduced to enhance the structured presentation of the foreground region. As an assistance, saliency detection is employed to render a rough shape and location of foreground. The final refined foreground is decided jointly by sparse component and attention map. Experimental results on different datasets show its superiority over the competing methods, especially under noise and changing illumination scenarios.
文摘针对现有视频监控系统智能化的视频分析功能不足的问题,利用海康监控系统的SDK开发包,获取实时视频流,并结合码本和尺度不变局部三元模式(scale invariant local ternary pattern,SILTP)纹理描述符构建背景模型,进行了移动目标检测和跟踪研究。实验结果表明,与现有系统相比,该方法检测到的目标完整充实,能够获得目标的轮廓与轨迹,有效提升了原有监控系统的性能。
