搜索资源列表
meanshift
- MeanShift 代码的matlab实现-The implementation of mean shift by matlab
Kalman
- kalman颜色跟踪算法 效果比meanshift好 opencv -kalman opencv color tracking algorithm
MeanShift
- 均值移动算法,适用于运动目标跟踪,Matlab开发环境。-Mean shift algorithm for Moving Target Tracking Matlab development environment.
MATLABmubiaojiance
- 基于mean-shift算法的目标跟踪,希望对大家有帮助-Based on mean-shift algorithm for target tracking, we hope to help
MEANSHIFT
- 国外大牛Mean Shift代码,思路比较清晰-the code of Mean Shift from Foreign Daniel and Ideas is clear
meanshift
- meanshift跟踪算法的实现,主要是利用metlab来完成的,效果还不错-mean shift tracking algorism
meanshift-theory
- 最详尽的meanshift原理资料,里面包含三个PPT,讲述了meanshift的原理、使用范围和使用方法,极力推荐!-The most detailed information meanshift principle, which contains three PPT, described meanshift principle, the use of reference and use, highly recommended!
mean_shift
- 基于Mean_shift的运动目标跟踪算法,可实现高速公路车辆的检测-Moving Target Tracking Based on Mean_shift algorithm can achieve highway vehicle detection
meanshift
- 实现了基于mean-shift的图像检索,实现了比较两图像的相似度,选择最相近的图片-To achieve mean-shift based image retrieval, to realize the similarity of two images, the selection of the most similar image
CImage
- CIMAGE 库,可用的,感觉还比较好用。-CIMAGE library, available, and feel relatively easy to use.
MeanShift
- 为了提高经典的Mean Shift算法在复杂场景中的跟踪性能,提出了一种基于角点的目标表示方法。首 先,利用Harris角点检测算法提取表示目标主要特征的角点 其次,基于提取的角点,建立目标模型,将其嵌入 Mean Shift算法进行跟踪。该方法仅用少量的关键点表示目标,能够自动去除目标和背景中的次要特征,有效地 抑制背景成分对目标定位的影响,从而改进Mean Shift目标跟踪算法的性能。-To imp rove the performance of the classicalMe
Video
- 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-Video demo algorithm include: 1 static background background prediction method 2 the static background frame difference method target detection 3 the target
2meanshiftprogram
- 使用mean shift 算法 用于图像的分割与平滑。很实用,大家多看看会有帮助的~!-The use of mean shift algorithm for image segmentation and smoothing. Very practical, it would be helpful to look at the ~!
1MS-code
- 使用mean shift 算法 用于图像的分割与平滑。很实用,大家多看看会有帮助的~!-The use of mean shift algorithm for image segmentation and smoothing. Very practical, it would be helpful to look at the ~!
BasedOnMeanShiftAndParticleFilterObjectTracking.ra
- 基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文:讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter),分析了两种算法的特点;,分析了用运动目标检测提取目标运动特征的技术,通过增加对目标特征描述信 息,提高跟踪健壮性,并在以颜色直方图描述颜色特征的基础上,融合了目标的运动特征,设计了一种基于运动特征和颜色特征多特征融合的粒子滤波跟踪方法;用二阶直方图描述颜色特征,设计了均值偏移和粒子滤波相结合的目标跟踪技术-Based
Cluster
- 使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the meas
meanshift
- 目标跟踪中常用均值漂移算法,以下是关于meanshift的一些改进算法-Commonly used in target tracking, mean-shift algorithm, the following are some improvements on the algorithm of meanshift
colorimageretrivew
- 实现彩色图像显著区域提取,基于注意力机制,使用算法包括k-means,分割等。-salient region detection
liftwave_edge_detection
- 本实验对图片进行超绿色灰度化后采用不同算子对mean——shift后的图片进行分割,效果还可以,但是边界点不连续。-This experiment on ultra-green to gray-scale images after the use of different operators on the mean- shift of the picture after the split, the effect can be, but not for the border points.