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Kalmanhumanmotiontracking
- kalman for human motion tracking
track opencv实现的踪源码
- opencv实现的踪源码，简单易懂,opencv implementation of human motion tracking source, easy-to-read
opencv实现的踪源码harris corner detection
- opencv实现的踪源码，简单易懂,opencv implementation of human motion tracking source, easy-to-read
Image.rar
- 静态图像中的人体检测技术在驾驶员辅助系统、人体运动捕捉、色情图片过滤以及虚拟视频等领域有重要的应用价值。,Static images of the human body detection technology in driver assistance systems, human motion capture, filter pornography and other areas as well as the virtual video has important application va
gfhgfhgf
- 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 vi
MovingObjectDetectionVideoSurveillanceanditsApplic
- 无需摄像机标定的摄像机运动跟踪算法 Moving Object Detection Video Surveillance and its Applicationinand Monitoring-Without camera calibration of the camera motion tracking algorithm for Moving Object Detection Video Surveillance and its Applicationinand Monitoring
diff
- Windows环境下VC6.0和VS2008及opencv1.0开发平台，用于运动跟踪，代码功能差分，并恢复差分后的原色-VC6.0 and VS2008 Windows environment and opencv1.0 development platform for motion tracking, code functionality differential, and restore the differential primary colors
COM_imm
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
CS
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
EKF
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
MotionDetection
- motion detection , using c# for developping motion detection and tracking-motion detection , using c# for developping motion detection and tracking
trainingdynamicmatrixofparticlefilter
- 粒子滤波的训练部分.理论部分参考michael isard的博士论文<Visual Motion Analysis by Probabilistic Propagation of Conditional Density>learn a dynamical matrix部分.训练集合和采集需要的图片都包含了(原用于手势跟踪,故图片均为手势图片).采集代码使用另外一个代码image_demo(已上传)-Particle filter part of the training. Micha
Copy_of_SIFT_SURF
- Sift Surf example Sift Surf example
ANN-in-maneuvering-target-tracking
- 在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越
HumaMotionTacking
- human motion tracking discribtion
CamShift
- CamShift算法，即"Continuously Apative Mean-Shift"算法，是一种运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪的目的。我把这个算法分解成三个部分，便于理解： 1) Back Projection计算 2) Mean Shift算法 3) CamShift算法-CamShift algorithm, that is, " Continuously Apative Mean-Shift" algorithm, is
HS_Method
- Using HS method to preform Motion Tracking. The image is captured from any camera.-Motion Tracking
tracker.code
- run tracker code that it can use for motion tracking
382
- Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In this paper we suggest a method for simultaneously tracking all people in a
Mytest
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