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A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
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一种目标运动要素快速定位方法，主要用于对目标的定位、跟踪背景下-Target Motion Analysis Algorithms for Rapid Localization Methods
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We propose an approximation framework for distributed target
localization in sensor networks. We represent the unknown
target positions on a location grid as a sparse vector,
whose support encodes the multiple target locations.
The location v
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针对目前大多数形状特征描述的全局性以及对旋转 缩放等变化的敏感性， 采用一种基于目标近似多边形的形状特征描述， 这种描述方式具有局部性和紧凑性， 同时结合运动参数预测及递归估计的方法实现二维目标的检测和定位-Most shape for the global characterization of and sensitivity to changes in the rotation scaling, using a polygon shape based on characteristics o
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It is one way for localization target in sensor network.
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Multiple Target Localization Using Wideband Echo Chirp Signals
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This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited
both recursive update for
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This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited
both recursive update for
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This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited
both recursive update for
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This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited
both recursive update for
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Starting Maxwell’s equations, we derive a sensor model for three-axis magnetometers
suitable for localization and tracking applications. The model depends
on the relative position between the sensor and the target, orientation of the target
and
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提出了改进的结合相位差变化率和多普勒频率变化率的单站无源定位算法。该算法克服了相位差变化率法中对目标运动状态和运动高度的限制及多普勒频率变化率法中波达角变化率信息获得困难，对算法实用性的限制，将两种算法的优点有机结合起来，降低了系统对定位系统前端接收机的设计难度，从而为该算法的硬件实现打下了良好的基础，最后使用迭代扩展卡尔曼滤波算法0Er,．v)对定位结果进行了处理，提高了估计的精度。(An improved single station without phase difference rat
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