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5下载:
采用多假设检验法实现多目标跟踪,建立了多目标跟踪/视频监控平台,结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
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code for object tracking using kalman filter
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本例是一个简单的运动目标跟踪程序,对一个小球进行了实时的跟踪-This example is a simple object tracking program, for a small real-time tracking of ball
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用 kalman滤波进行目标物体追踪,有数据,试验成功,matlab编程,图像处理。-Using kalman filter for tracking the target object, including data, test success, matlab programming, image processing.
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三维目标下用扩展卡尔曼滤波对非线性系统的目标进行跟踪-By three-dimensional object using the extended Kalman filter for target tracking nonlinear systems
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假设一物体围绕一圆周运动,角加速度是白噪声,观测噪声也是零均值的白噪声;编程使用卡尔曼滤波器实现运动物体的跟踪。-Suppose an object around a circular motion, the angular acceleration is white noise, observation noise is zero mean white noise programming using a Kalman filter implementation to track moving
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使用卡尔曼滤波器对物体的未来状态进行预测和估计。(Using the kalman filter to predict the station of the object.)
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