动态跟踪中背景补偿与目标运动估计

针对目标的观测位置信息中混入了背景运动的问题,提出一种特征点集与稀疏光流场相结合的背景补偿方法.通过Harris算子找出一组特征点,在相邻帧中通过计算每个特征点的局部最优匹配区域得到稀疏点集的光流向量.根据其光流方向概率分布,最终计算出背景的偏移量.通过背景补偿,得到目标的真实偏移量序列,带入Kalman滤波方程,对下一帧中目标的运动状态进行实时估计.实验表明,背景补偿后的预测精度在10个像素之内,每个均值迁移跟踪单元大约需要10ms,提高了跟踪的稳定性,有效减少了迭代次数.新的跟踪器能满足动态实时跟踪的要求.     

基于射影不变量的摄像机标定

为解决摄像机标定过程中自动寻找标定物平面上的特征点与图像平面上特征点的对应关系问题,将射影空间几何不变量性质应用到对应点的寻找过程中,通过交比不变性确定标定物和图像上的5个特征点的对应关系;再从5个特征点对中取出任意3个点对,确定标定物和图像上其他特征点的对应关系.实验结果证明:该方法标定准确,标定过程自动、快捷.     

利用Kalman滤波的视频运动目标跟踪

提出一种基于kalman滤波的视频运动目标跟踪算法,首先对视频运动目标进行分割,求出运动目标的形心,再利用视频运动目标的形心所在宏块的运动矢量信息,用kalman滤波对运动目标的形心在下一帧的位置进行预测,从而快速、有效地自动跟踪多个目标对象.实验结果表明,该算法对运动目标的出现和消失,以及非刚性物体的尺度变化和变形,具有较强的鲁棒性.     

移动GIS概念模型的研究

移动GIS是GIS领域中比较热门的研究方向之一,而移动GIS中运动对象的时空位置分析,是实现运动对象查询及空间分析的基础。本文针对移动GIS的运动对象提出了概念描述,并提出运动对象的分析方法,以及相应的算法。     

偏序范畴若干问题研究

本文介绍了关系及关系矩阵等概念,并着重讨论了偏序关系及对应的偏序范畴、偏序矩阵,刻划了偏序范畴的始对象、终对象和零对象,偏序范畴的积范畴以及给出相应的矩阵的关系,即积范畴对应的偏序矩阵是原来两个偏序矩阵的张量积;讨论了等价的偏序范畴对应的偏序集之间的关系.     

计算机液位控制系统接口电路及控制算法的设计与实现

介绍了多容对象液位控制系统的组成,着重论述了其接口电路的设计方法及工作原理,根据对象特性和控制指标设计了相应的控制算法,并对系统抗扰动能力进行了试验。该系统在实际运行中取得了良好的控制效果。     

Efficient View-Based 3-D Object Retrieval via Hypergraph Learning

View-based 3-D object retrieval has become an emerging topic in recent years,especially with the fast development of visual content acquisition devices,such as mobile phones with cameras.Extensive research efforts have been dedicated to this task,while it is still difficult to measure the relevance between two objects with multiple views.In recent years,learning-based methods have been investigated in view-based 3-D object retrieval,such as graph-based learning.It is noted that the graph-based methods suffer from the high computational cost from the graph construction and the corresponding learning process.In this paper,we introduce a general framework to accelerate the learning-based view-based 3-D object matching in large scale data.Given a query object Q and one object O from a 3-D dataset D,the first step is to extract a small set of candidate relevant 3-D objects for object O.Then multiple hypergraphs can be constructed based on this small set of 3-D objects and the learning on the fused hypergraph is conducted to generate the relevance between Q and O,which can be further used in the retrieval procedure.Experiments demonstrate the effectiveness of the proposed framework.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.     

数学认识活动中的主客体关系

本文通过讨论数学认识活动中的主客体关系,首先引入数学认识客体的三个层次:即现实世界的量及其关系可以看作外在于人的较原始的认识客体;作为思想事物的纯的数学研究对象是内在于人的较高层次的认识客体;界于这两个层次之间中间层次的认识客体是在人们头脑中形成相应的数学的生理——心理结构。接着在分析皮亚杰关于发生认识论的研究的基础上,通过继承与发展,阐述了在数学认识活动中,主体和客体是怎样相互作用的。最后以上述的思想观点为指导,分析了数学哲学中争议较多的一些问题。     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location, because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.