Description: mean—shift算法的详细解释，可以用在图像平滑，物标跟踪等方面-a introduction to mean-shift which is very useful in object trace and so on Platform: |
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Author:tong jianfeng |
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Description: Continuously Apative Mean-Shift",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-Continuously Apative Mean-Shift " , mainly by moving objects in video color information to achieve the purpose of tracking Platform: |
Size: 215040 |
Author:田冰 |
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Description: 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 a motion tracking algorithm. It is mainly through the video images of moving objects in the color information to achieve the purpose of tracking. I put this algorithm broken down into three parts, easy to understand: 1) Back Projection calculations 2) Mean Shift Algorithm 3) CamShift algorithm Platform: |
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Author:eagle |
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Description: Gary R．Bradski提出CamShift算法，即"Continuously Adaptive Mean-Shift"算法。是以颜色直方图为目标模式的目标跟踪算法，可以有效地解决目标变形和部分遮挡的问题，而且运算效率很高。在视频跟踪过程中，CAMSHIFT算法利用选定目标的颜色直方图模型得到每帧图像的颜色投影图，并根据上一帧跟踪的结果自适应调整搜索窗口的位置和大小，得到当前帧中目标的尺寸和质心位置。-Gary R. Bradski CamShift proposed algorithm, that is, " Continuously Adaptive Mean-Shift" algorithm. Color histogram for the target model is based on target tracking algorithms that can effectively solve the target deformation and partial occlusion of the problem, and efficient operation. In the video tracking process, CAMSHIFT algorithm uses color histogram model of the selected target by the color of each frame image projection, and according to the results on an adaptive tracking the location and size of the search window to get the target in the current frame size and centroid location. Platform: |
Size: 3072 |
Author:kitty |
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Description: 它是MeanShift算法的改进，称为连续自适应的MeanShift算法，CamShift算法的全称是"Continuously Apaptive Mean-SHIFT"，它的基本思想是视频图像的所有帧作MeanShift运算，并将上一帧的结果-It is MeanShift Algorithm, called continuous adaptive MeanShift algorithm, CamShift algorithm stands for "Continuously Apaptive Mean-SHIFT", and its basic idea is that all frames of video images for MeanShift operations, and the results of the previous frame
Platform: |
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Author:伟迅 |
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Description: 针对多目标跟踪中，目标瞬问丢失、目标交错或重叠时H标跟踪失败等情况，提j“了一种改进Camshift(continuously adaptive iTlean shift)算法和卡尔曼滤波组合的多日标跟踪方法-Abstract：Aiming at several problems occurred in multi—object tracking．such硒the moving objects interleaving or OVal -
lapping．and the object losing momentarily,a new multi-object tracking algorithm is proposed that combines the modified
Camshifl(continuously adaptive mean shift)algorithm with Kaiman filter Platform: |
Size: 2048 |
Author:史磊 |
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Description: Camshift它是MeanShift算法的改进，称为连续自适应的MeanShift算法，CamShift算法的全称是 Continuously Adaptive Mean-SHIFT ，它的基本思想是视频图像的所有帧作MeanShift运算，并将上一帧的结果（即Search Window的中心和大小）作为下一帧MeanShift算法的Search Window的初始值，如此迭代下去。-CAMSHIFT it is improved meanshift algorithm, called for continuous adaptive meanshift algorithm and CAMSHIFT algorithm s full name is continuously adaptive Mean-SHIFT . Its basic idea is all the frames of video image meanshift arithmetic and the result of a frame (i.e. search window center and size) as the next frame meanshift algorithm search window of the initial value, so the iteration continues. Platform: |
Size: 3072 |
Author:张荡荡 |
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Description: 针对小型无人机在无卫星导航信号条件下的导航问题, 结合光流及地标定位设计了使用摄像头、惯性测量器件、超声测距仪等传感器融合的无人机室内导航方法. 文章使用补偿角速率的光流微分法计算帧间像素点小位移, 并用前后误差算法提取精度较高的点, 避免像素点跟踪错误, 提高了光流测速的精度 对得到的光流场用均值漂移算法进行寻优, 得到光流场直方图峰值, 以此计算光流速度. 本文提出了无累积误差的连续地标定位算法, 实时测量无人机位置. 通过多速率卡尔曼滤波器对观测周期不一致的位置、速度信息进行最优估计. 在搭建的八旋翼无人机平台上试验, 将位置与速度测量结果分别与激光和PX4FLOW数据对比, 结果表明该导航方法可以有效抑制定位跳变与光流测量噪声误差, 给出精确的位置与速度估计.
-Problems for the Navigation satellite navigation signals in the absence of conditions, and in conjunction with optical flow landmark UAV design indoor navigation positioning method using the camera, inertial measurement device, an ultrasonic range finder sensor fusion article using the compensation angle computing optical flow rate of the inter-pixel differentiation small displacements, and extracted with high precision before and after the point of error algorithm, to avoid the tracking error pixel, improve the accuracy of optical flow speed optical flow field obtained for the mean shift algorithm optimization, the histogram peak optical flow, in order to calculate the optical flow velocity. in this paper, the landmark location algorithm continuously accumulated error is measured in real time the position of the UAV by multirate Kalman filter observation period inconsistent positions , optimal estimation speed information. tested on eight rotor UAV platform structures, the position a Platform: |
Size: 882688 |
Author:lou tayzan |
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Search - Continuously Mean-Shift