Description: 利用kalman滤波器对具有随机加速度的物体运动路线的进行信号采样，滤波处理和估计。-use kalman filter to sample signals of object moving route with random acceleration,filter and estimate Platform: |
Size: 14221 |
Author:吴胜 |
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Description: 利用kalman滤波器对具有随机加速度的物体运动路线的进行信号采样，滤波处理和估计。-use kalman filter to sample signals of object moving route with random acceleration,filter and estimate Platform: |
Size: 14336 |
Author: |
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Description: 用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量，假设观测的间隔为一秒钟，雷达到运动目标之间的距离为S(t)（1） 统计特性的初值为
（2）观测误差是与和均不相关的白噪声序列，并且有
（3）观测数据存放在附加的文件中（单位：m）。
要求：分析上述对象，建立系统模型，构造卡尔曼滤波器，编程计算，求：
（1） 距离S(t)的最佳估计及估计误差，
（2） 距离S(t-5)的最佳平滑及估计误差，
（3） 距离S(t+5)的最佳预测及估计误差，
（4） 对结果进行分析讨论。
-By one observer from the t = 1 PST on a moving target tracking for distance measurement, assuming that the observation interval is one second, the radar that the distance between the moving target for the S (t) (1) the statistical characteristics of the initial condition (2) observational error is not associated with white noise sequence, and (3) observational data stored in the attached document (unit: m). Requirements: Analysis of the above-mentioned object, the establishment of the system model, constructed Kalman filter, programming terms, seeking: (1) distance from S (t) the best estimate and the estimation error, (2) distance from S (t-5) the most good smoothing and estimation error, (3) distance from S (t+ 5) the best prediction and estimation error, (4) the results analyzed and discussed. Platform: |
Size: 2048 |
Author:裴海波 |
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Description: 学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filtering, Mean-shift, Camshifi algorithm, particle filter, Snake model the application of Kalman filtering method designed a coal miners out of automatic monitoring system a new Gaussian mixture model based on the color feature extraction method to overcome the existing Camshift algorithm Continuousl y Adaptive eanshift track target feature extraction accuracy and low computational complexity and high defects Platform: |
Size: 1343488 |
Author:田卉 |
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Description: Kalman滤波器在单运动目标自动跟踪中的应用,相当经典，希望对大家有所帮助。-Kalman filter in a single moving object automatic tracking of applications, very classic, I hope to help all of you. Platform: |
Size: 143360 |
Author:张斌斌 |
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Description: 卡尔曼滤波方法用于估计物体运动参数，卡尔曼滤波在运动目标跟踪问题中。超级推荐，绝对可以运行，随机模拟运动估计，效果非常不错，是个老外写的。-Kalman filtering method used to estimate the object motion parameters, the Kalman filter in moving object tracking problem. Super recommended, can definitely run, the stochastic simulation of motion estimation, the effect is very good, written by a foreigner. Platform: |
Size: 15360 |
Author:cheng |
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Description: 运动目标的检测有很多方法，效果也各有差异，在这里介绍一种卡尔曼滤波对运动目标的检测。-Moving object detection method, the effect also varies, where about one kind of Kalman filtering to moving target detection. Platform: |
Size: 22528 |
Author:zm |
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Description: extracting background Bit-layer-A method of achieving background is presented
which detect the moving object with statistics from complex
scene. Compared with other methods of achieving image
background, this approach can achieve and update
simultaneously background. The method of moving object
detection has the advantages of simplicity in computation,
strong resistance to noise. The state transition matrix and
observation matrix of Kalman filter are then defined to track
the detected object. The experiment indicates that the method
proposed has stability of forecast. Platform: |
Size: 478208 |
Author:蒋星星 |
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Description: 此方法为kalman视频跟踪，可以实现运动物体的检测及跟踪-This method for the Kalman video tracking, can realize the detection and tracking of moving object Platform: |
Size: 1219584 |
Author:王慧 |
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Description: 运动目标跟踪在工业过程控制、医学研究、成像制导等领域具有重要的实用价值。目前的研究多基于背景静止的情况，对背景发生移动的情况研究较少。提出了一套完整的移动背景下的目标跟踪算法，首先使用基于互信息的方法配准序列图像的背景。然后使用差分的方法进行运动区域检测，并将其与图像分割技术相结合，得到目标跟踪模板。目标的跟踪基于Kalman滤波的预测，其匹配过程仍基于互信息理论，实验结果证明：该算法具有较高的计算效率和准确性，应用前景广泛。-it is of important practical value to
track moving objects in the fields of industrial process control，medical research，imaging guidance，etc．At present most research in this field are often based on static background，while those based on moving background
ale rather less．A complete algorithm
of object tracking in the moving background
was
proposed．Firstly，the
background
of
sequence images
were
registered by
using
the mutual
information．Secondly，a
differential method
was
used to detect
moving object in combination
with
image segmentation technology
to
get
the
object template．Object
tracking
was based on Kalman filter and the
object matching
was still based on the mutual information
theory．The experiments
show that
object tracking
is
rapid，accurate
and robust
by using
this
algorithm．
Computational efficiency
and
accuracy
of this new
tracking algorithm
is SO
high，and
its
application
prospect
will be broad． Platform: |
Size: 430080 |
Author:wenping |
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Description: 研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, background subtraction method, optical flow detection and tracking method Kalman filtering, feature-based optical flow method, and various methods of comparison, pointing out its strengths and weaknesses and the scope of application, and the experimental results of differential and background difference time-domain method Platform: |
Size: 249856 |
Author:hengluo |
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Description: This example shows how to generate C code for a MATLAB Kalman filter function, Kalman , which estimates the position of a moving object based on past noisy measurements. It also shows how to generate a MEX function for this MATLAB code to increase the execution speed of the algorithm in MATLAB.
Platform: |
Size: 1024 |
Author:josehumano |
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Description: 用卡尔曼滤波来检测视频中的小运动目标，例子为检测一个运动场景中的乒乓球-Using kalman filter to detect small moving targets in video, example for detecting a movement in the scene of table tennis Platform: |
Size: 883712 |
Author:张广明 |
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Description: This document represent the kalman filter which can track the moving object. it is proofed that this filter is optimal in the case of gaussianity. Platform: |
Size: 167936 |
Author:Malah |
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Search - kalman moving object