Description: 是一个人体跟踪的VC源代码程序，有Kalman、PI等许多优秀的算法！-is a human tracking VC source code procedures, Kalman, PI and many other outstanding algorithm! Platform: |
Size: 720594 |
Author:梁志伟 |
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Description: A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.-A multi-Kalman filtering approach for vid eo tracking of human-delineated objects in clu ttered environments is an latest PH.D. graduati on paper! it give needing to most people. Platform: |
Size: 7900653 |
Author:rifer |
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Description: 是一个人体跟踪的VC源代码程序，有Kalman、PI等许多优秀的算法！-is a human tracking VC source code procedures, Kalman, PI and many other outstanding algorithm! Platform: |
Size: 719872 |
Author:梁志伟 |
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Description: A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.-A multi-Kalman filtering approach for vid eo tracking of human-delineated objects in clu ttered environments is an latest PH.D. graduati on paper! it give needing to most people. Platform: |
Size: 7900160 |
Author:rifer |
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Description: :介绍了一种基于红外光源的人眼快速定位与跟踪方法,应用于驾驶防瞌睡系统。
特殊设计的硬件用来控制红外光源,实时获取图像。采用差分图像进行人眼瞳孔图像捕捉
和提取,用卡尔曼滤波器跟踪人眼活动,以实时监测眼睛开闭状态。该方法具有快速、对驾
驶员无干扰及有较高的准确性等优点。
关键词:疲劳驾驶 红外光源 人眼-: An infrared light source based on human eye rapid positioning and tracking methods, the system applies to drowsy driving prevention. Specially designed hardware used to control the infrared light source, real-time access to images. The use of differential image the human eye pupil image capture and extraction, using Kalman filter to track the activities of the human eye to real-time monitoring of eye opening and closing state. The method is rapid, non-interference of the driver and the advantages of higher accuracy. Key words: fatigue driving infrared light the human eye Platform: |
Size: 270336 |
Author:张海水 |
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Description: 使用matlab对人体运动进行的简单的目标跟踪，使用卡尔曼滤波-Using matlab to human movement of the simple target tracking, the use of Kalman filter Platform: |
Size: 3070976 |
Author: |
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Description: 这个个程序是利用卡尔曼滤波实现人体关节点的跟踪问题，运用的是CV模型，噪声为高斯白噪声！有用的拿去看看！-This procedure is to use a Kalman filter to achieve a key point in human tracking problems, the use of the CV model, noise is Gaussian white noise! Take useful to see! Platform: |
Size: 1024 |
Author:岳立川 |
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Description: 本程序是利用kalman filter实现人体关节点跟踪的程序，运用的是CA模型，噪声是白噪声！一起学习-This procedure is to use the realization of human joints kalman filter tracking procedures, the use of the CA model, the noise is white noise! Learning together Platform: |
Size: 1024 |
Author:岳立川 |
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Description: Ka lman 滤波的人体运动位置跟踪算法。基于视频的人体运动跟踪是当前计算机视觉研究的热点, 具有广泛的应用领域. 文中提出
一种基于Kalman 滤波的跟踪算法. 合理使用自适应背景颜色模型, 能够准确地对人体运动位置进
行跟踪-Ka lman human filtering algorithm to track the location of sports. Video-based human motion tracking is the current research on computer vision, with a wide range of applications. This paper presents a Kalman filter-based tracking algorithm. The rational use of adaptive background color model, the human body be able to accurately track the location of sports Platform: |
Size: 232448 |
Author:谭园芳 |
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Description: a PF thesis that implemented on human tracking .
in this thesis , auther compare the PF and kalman filtering, Platform: |
Size: 3433472 |
Author:seyed2 |
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Description: 对人体的图像序列进行unscented kalman filter 追踪，参考最经典的UKF算法编写，是学习UKF算法的比较入门的程序-Image sequences on the human body, unscented kalman filter for tracking, the most classical reference to the preparation of the UKF algorithm is a learning algorithm UKF procedure entry
Platform: |
Size: 2761728 |
Author:xujian |
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Description: 基于VC6.0开发环境，利用Kalman算法做的一个人体跟踪系统-VC6.0 development environment based on the use of Kalman algorithm to do a human tracking system Platform: |
Size: 720896 |
Author:honghai |
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Description: 人脸视频图像编码是近年来图像编码领域里的一个研究热点问题,它在通信、互联网等方面有着广泛的应用前景。人脸图像编码的研究包含很多子问题,主要的三个方面为:精确的人脸目标定位算法,实时的人脸目标跟踪算法和高效的人脸图像编码方法。本文的主要研究工作在于: 1) 提出帧间差分和背景差分相结合的人脸目标定位算法,在人脸特征选择上,主要使用形状特征,通过椭圆拟合来得到人脸的位置。 2) 采用基于Kalman滤波的运动预测方法对人脸的区域变化进行预测,以此缩小目标可能存在的区域(ROI).-Facial video image coding image compression in recent years a hot research topic in the field of the problem, it is in the communication, the Internet have a wide range of applications. Coding of face images contain many sub-problems, the main three are: accurate target location algorithm for face, real-time face tracking algorithm and efficient facial image coding method. This major research work are: 1) of the frame difference and background difference goal of combining face localization algorithm, feature selection in the human face, the main use of shape features, by ellipse fitting to get the location of the face. 2) Kalman filtering based motion prediction method changes the face of the region predicted to narrow the possible target area (ROI). Platform: |
Size: 1024 |
Author:周参 |
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Description: This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support
vector machine. For the colour-based model, we extract a 4-dimensional colour histogram for each detected pedestrian window and compare these colour histograms between consecutive
video frames using the Bhattacharyya coefficient. For the motion model, we use a Kalman filter which recursively predicts and updates the estimates of the positions of pedestrians in the video frames. We evaluate our tracking method using videos from two pedestrian video datasets from the
web. Our experimental results show that our tracking method outperforms one that uses only colour information and can handle partial occlusion. Platform: |
Size: 484352 |
Author:linuszhao |
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Description: Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate-Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate Platform: |
Size: 409600 |
Author:jorgehas |
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Description: 一篇参考了大量外文文献的基础上写的人体运动跟踪的综述，供大家参考。-An reference to a large base of foreign literature written a review of human motion tracking, for your reference. Platform: |
Size: 323584 |
Author:郭文浩 |
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