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video-processing-
视频演示算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
(Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)
- 2013-07-06 09:45:19下载
- 积分：1
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DDBOpen-show-save
DDB 图像编程 实现图像的打开，保存，显示，一般处理等功能(DDB image programming to achieve the image open, save, display, general processing and other functions)
- 2013-09-15 11:34:36下载
- 积分：1
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1-s2.0-S0925753510002559-main.pdf
I WANT SOURCE CODE FOR IMAGE SEGMENTATION
- 2013-07-31 14:23:59下载
- 积分：1
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DFT_by_dft
VS 环境下利用opencv 实现图像的傅里叶变换，输入图片，保存输出结果。(Under VS environment use opencv to achieve image Fourier transform, the input image and save the output.)
- 2016-07-05 16:08:58下载
- 积分：1
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polsar
polsarpro软件的使用说明，适合处理极化SAR图像。(polsarpro the software instructions for dealing with polarization SAR images.)
- 2009-11-21 17:21:07下载
- 积分：1
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Choen-Sutherland
Choen-Sutherland算法裁剪线段 计算机图形学中使用Choen-Sutherland算法进行图形多边形裁剪，并用MFC实现(Choen-Sutherland )
- 2010-11-20 18:43:09下载
- 积分：1
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quanjingtupinheyuchuli
一种有效的全景图拼合预处理算法.适用于图像的拼接。是论文！(An effective pre-processing algorithm together panorama. Splicing applied to images. Is a thesis!)
- 2008-04-15 16:42:03下载
- 积分：1
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Eyes
图像处理实习（针对遥感影像），包含许多经典的图像处理功能，比如多种植被指数计算、小波变换、镶嵌、图像分类等(Image processing internship (for remote sensing images), contains many classic image processing functions, such as a variety of vegetation indices, wavelet transform, mosaic, image classification, etc.)
- 2014-03-27 22:36:07下载
- 积分：1
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Project2
通过图片的外参数矩阵对图片进行透视变换，对图片的外参数进行校正(camera calibration)
- 2014-11-14 23:49:33下载
- 积分：1
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hongwaileida
针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下，b标状态估计不稳定和b标可观测性车弱的问题，提出了一种基于序贯融合的粒子PH D滤波方法，利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波，丙将红外传感器滤波结果作为雷达的预测值，然后利用P达观测的数据进行更新，这样通过雷达和红外传感器交替上作保证目标状态的可观测性，从滤波器输出结身即可得到目标的状态信息仿真结果表明，在虚警、漏检和密集目标环境下，该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil-
ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da
to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from
the filter were set as the radar predicted value by the radar observations. The multrtarget state can be
updated to guarantee observing the target state. In this way, the global state is updated at the fusion
center. Simulation results show that the proposed algorithm is effective and robust under the false
warning, omission and concentrated target environment.
)
- 2012-03-06 16:27:41下载
- 积分：1
