搜索资源列表
testMeanShift
- 基于Opencv的MeanShift跟踪代码。MeanShift算法是目标跟踪领域应用较广泛的算法，轻量级，原理是求概率密度最大位置。-Opencv based MeanShift tracking code. MeanShift is widely used in object tracking. lightweight. the principle is to find the probability density maximum position.
m
- meanShift算法用于视频目标跟踪时，采用目标的颜色直方图作为搜索特征，通过不断迭代meanShift向量使得算法收敛于目标的真实位置，从而达到跟踪的目的。-meanShift video object tracking algorithm is used, the use of the color histogram of the target as a search feature, so that through continuous iteration meanShift vecto
1
- meanShift算法用于视频目标跟踪时，采用目标的颜色直方图作为搜索特征，通过不断迭代meanShift向量使得算法收敛于目标的真实位置，从而达到跟踪的目的。-meanShift video object tracking algorithm is used, the use of the color histogram of the target as a search feature, so that through continuous iteration meanShift vecto
mean
- meanshift实现目标跟踪，效果还行-meanshift for target tracking, the results were OK
mean-shift
- 基于meanshift/camshift的视频运动目标跟踪实现，通过鼠标手动选择跟踪目标。基于HSV空间模型，可手动调节H S V的阈值，显示前景、背景、反响投影图。开发工具是VS2008、OPENCV.-Based meanshift/camshift video moving target tracking achieved manually using the mouse to select the target track. HSV space model, you can manual
meanshift-and-motion-vector
- 文章介绍了mean-shift算法运动矢量相结合的一种解决运动目标过快而是Ms算法丢失目标的跟踪算法。-This paper presents a fast moving target but Ms solving algorithm lost target tracking algorithm mean-shift algorithm combines motion vector.
meanshift_matlab
- meanshift实现目标跟踪，matlab实现，附带图像序列-meanshift achieve target tracking, matlab realize, with a sequence of images
meanshift_opencv
- meanshift实现视频目标跟踪，opencv实现，附带测试视频-meanshift implement video target tracking, opencv realize, with test video
kalmanPcamshift(meanshift)
- 结合Kalman和Meanshift方法，对视频中运动目标进行跟踪。-Kalman and Meanshift combined method, the video moving target tracking.
Meanshift-
- 基于meanshift的视频跟踪，实现了目标的追踪。-Meanshift based video track to achieve the goal of tracking.
camshift
- 带宽自适应的meanshift改进算法用于井下目标跟踪-Meanshift improved bandwidth adaptive algorithm for target tracking underground
Meanshift
- 摄像头固定情况下的运动行人跟踪进行研究，Mean Shift算法，与目标区域灰度直方图结合，进行运动目标的检测跟踪-tracking study of the movement of pedestrians in case of a fixed camera introduces a better application of Mean Shift algorithm
IVS-meanshift
- 该文件是在VC++环境下运行的运动目标视觉分析。包括高斯模型背景提取，calman和meanshift滤波来实现跟踪，最终通过视频界面完成是否障碍入侵并报警-The file is a visual analysis of moving objects in VC++ environment running under. Including the Gauss model background extraction, Calman and meanshift filter to realize
MeanShift
- 利用meanshift1算法实现视屏目标的跟踪，包含全套程序，并配有示例视屏。-Meanshift1 algorithm to track the use of screen targets, including a full program, and with a sample screen.
meanshift
- 实现了用meanshift跟踪目标，效果良好，实时性可以保证-Meanshift track to achieve the target with good effect, can guarantee real-time
matlab
- 基于meanshift的单目标跟踪算法实现 说明： 1. RGB颜色空间刨分，采用16*16*16的直方图 2. 目标模型和候选模型的概率密度计算公式参照上文-Meanshift based single target tracking algorithm Descr iption: 1. RGB color space plane points, using a histogram 2. Probability density target model and the candid
opencv
- 基于meanshift的单目标跟踪算法实现 说明： 1. RGB颜色空间刨分，采用16*16*16的直方图 2. 目标模型和候选模型的概率密度计算公式参照上文 3. opencv版本运行：按P停止，截取目标，再按P，进行单目标跟踪-Meanshift based single target tracking algorithm Descr iption: 1. RGB color space plane points, using a histogram 16* 16* 16 2
track
- 该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法-The program is my many years of experience and code, the realization of the panora
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子