Description: 本文介绍的是基于粒子滤波和均值偏移算法的目标跟踪.结合创新的算法克服了两种算法各自的缺陷,鲁棒性和实时性得到了很大的提高.
-This article is based on the introduction of the particle filter and mean shift tracking algorithm. Combination of innovative algorithms to overcome the shortcomings of their respective two algorithms, robustness and real-time has been greatly improved. Platform: |
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Author:阳关 |
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Description: meanshift跟踪的matlab源码，利用物体的颜色对物体进行跟踪-meanshift tracking matlab source, using the color of objects on the object tracking Platform: |
Size: 3072 |
Author:sunflowerli |
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Description: 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
该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift Object Tracking Method 4. The focus of multi-target tracking method of the framework to support RGB video is limited to non- Windows AVI format compressed through the File menu to open the video to open video files. Platform: |
Size: 100352 |
Author:chenping |
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Description: 学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filtering, Mean-shift, Camshifi algorithm, particle filter, Snake model the application of Kalman filtering method designed a coal miners out of automatic monitoring system a new Gaussian mixture model based on the color feature extraction method to overcome the existing Camshift algorithm Continuousl y Adaptive eanshift track target feature extraction accuracy and low computational complexity and high defects Platform: |
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Author:田卉 |
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Description: mean shift 目标跟踪，用于跟踪视频目标，本人修改了部分程序。均值转移算法、均值转移代码、Mean-Shift，用于视觉目标跟踪、视频监控、主动视觉等领域，还可以用于图像分割/图像聚类/聚类分割。-mean shift algorithm is used to track visual object. Applied in visual object tracking, visual tracking, visual surveillance and active vision. Platform: |
Size: 5120 |
Author:朱亮亮 |
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Description: 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
该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video Demo algorithm includes: 1. Static background prediction in the context of target detection 2. The context of inter-frame difference method for a static target detection 3. Mean Shift Object Tracking Method 4. The focus of multi-target tracking method of the framework to support the video is limited to RGB non- Compressed Windows AVI format, can use the " File" menu to open the video to open the video files. Platform: |
Size: 3106816 |
Author:wujian07 |
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Description: 一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The paper <Robust Object Tracking using Joint Color-Texture Histogram> is published in International Journal of Pattern Recognition and Artifical Intelligence. Platform: |
Size: 3906560 |
Author:宁纪锋 |
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Description: 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,object tracking,feature generation. It developed based on VC2008 and OpenCV library. The friendly interface is very convinient for new learners. Platform: |
Size: 7499776 |
Author: |
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Description: 均值平移的跟踪代码，能够对目标物体进行良好的跟踪-This file is the implementation of the mean shift algorithm. It can work well in tracking the target object Platform: |
Size: 2048 |
Author:谢立寅 |
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Description: 视频演示算法包括，1. 静态背景下的背景预测法目标检测。 静态背景下帧间差分法目标检测Mean Shift目标跟踪方法 重心多目标跟踪方法。该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video presentation algorithms, including, 1. Static background background prediction target detection. Static background frame difference method object detection methods focus Mean Shift tracking multi-target tracking method. The framework supports only RGB uncompressed video Windows AVI format, you can " file" menu to open the video to open the video file. Platform: |
Size: 3108864 |
Author:安红 |
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Description: 本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library. It includes foreground detection, motion object detection, motion object tracking, trajectories generation and analysis modules. It realizes a friendly interface based on dialog, which provides a convenient example for new learners.
keywords: opencv, mixture of gaussian model, sift feature and ransac method, mean shift, particle filter, kalman filter, object detection and tracking, video intelligent system. Platform: |
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Author: |
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Description: 奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标
颜色分布的缺点，提出J，一种改进算法．该改进算法首先对目标的颜色进行聚类分析，根据聚类结果通过矩阵分解和正交变换
自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间．在此基础上定义 一种新的颜色模型，该模型统计落入每
一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布，并推导r一种相似性度量米比较目标和候选目
标的颜色模型之间的相似程度．最后基于该颜色模型提出J，改进算法．实验表 ，基于该颜色模型的改进算法比经典的Mean
Shift算法具有更好的性能，向跟踪时间与经典算法大致相 ．-The traditional Mean Shift tracking algorithm partitions uniformly the whole color space，leading to a great
number of void histogram bins，and is unable to represent accurately the color distribution of the object．To address
the problems，we present an improved algorithm．Firstly the object color is analyzed using a clustering algorithm，and
according to the clustering result the color space of the object is partitioned into subspaces by matrix factorization and
orthonormal transformation．Then a new color model is defined by considering the weighted number of pixels as well as
within—cluster distribution with Gaussian ．and a novel measure iS derived to evaluate the similarity between the reference
color model and the candidate mode1．Finally an improved algorithm is proposed based on the color mode1．Experiments
show that the improved algorithm has better performance than and is computationally comparable to the conventional
mean shift algorithm． Platform: |
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Author:陈方芳 |
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Description: 该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！-These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! Platform: |
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Author:朱亮亮 |
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Search - object tracking mean shift