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A paper on A Pixel wise Object Tracking Algorithm with Target and Background Sample
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A paper on A Kalman Filter Based Visual Tracking Algorithm for an Object Moving in 3D
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结合了背影恢复技术和目标跟踪技术进行视频分割算法，分背景重建、运动目标提取、跟踪技术的使用和后处理4个步骤-Combined with the back of recovery techniques and target tracking technology for video segmentation algorithm, sub-background reconstruction, moving object extraction, tracking the use and post-pr
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由于载体对象的高动态特点，其上装载的GNSS 接收机在捕获信号和跟踪定位上面临很大的挑战，因此致使 GNSS/INS 组合系统的定位效果受到严重影响。本论文以 MEMS IMU/GNSS 超紧组合为研究目标，并以 MEMS IMU 环路辅助的GNSS/INS 紧组合技术为研究重点，深入研究了 MEMS IMU 辅助的 GNSS 信号捕获、MEMS IMU 辅助的 GNSS 信号跟踪、MEMS IMU 辅助的 GNSS/INS 紧组合导航定位算法和基于矢量跟踪结构的 GNSS/INS 超紧组
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Research in motion analysis has evolved over the years as a
challenging field. Moving object detection and tracking is of
major interest in applications such as traffic monitoring,
military, medicine and biological sciences etc. In this a ne
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一种改进的粒子滤波算法的研究 粒子滤波基本原理，通过改进权重计算、重采样算法， 计算速度得到提高。改进的算法在DSP系统中进行目标跟踪仿真，证明其具有速度快、 精度高的特点-An improved study the basic principles of particle filter particle filter algorithm, recalculation by improving the rights, resampling algorithm to calculate the s
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This paper introduces a new object tracking method
which combines two algorithms working in parallel, and based on
low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and
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