Description: 目标跟踪的两个算法，分别是运动变化和基于高斯权值的颜色空间HSI的meanshift算法-Two target tracking algorithm, namely, Gaussian-based movement and the right to change the value of the HSI color space meanshift algorithm Platform: |
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Author:郑锦 |
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Description: 一组采用mean shift和particle filter的目标跟踪代码，都是基于颜色特征的跟踪算法。算法程序为纯c代码。-One group mean shift and particle filter target tracking code, are based on the color characteristics of the tracking algorithm. Algorithm procedure for pure c code. Platform: |
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Author:myb |
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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: |
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Author:sunflowerli |
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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: 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 on Mean Shift Algorithm and Particle Filter algorithm for target tracking dissertation: The MeanS hift algorithm (average deviation) and particle filter (Particle Filter), an analysis of the characteristics of two algorithms analyzed by extracting the target moving target detection Movement characteristics of technology, by increasing the characterization of target information to enhance the tracking robustness, and to describe the color characteristics of color histogram, based on the integration of the target movement characteristics, designed a campaign based on the characteristics and color characteristics of multi-feature integration of particle filter tracking method with second-order description of the color histogram features, designed to offset the mean particle filter and a combination of target tracking technology Platform: |
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Author:田卉 |
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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: |
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Author:宁纪锋 |
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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: |
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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: 提出了一种改进直方图映射和均值移位结合的目标跟踪算法，根据目标模型各成分直方图比例系数建立索引表，索引号为颜色值，索引内容为颜色对应的归一化目标模型直方图，在索引表中查询输入图像颜色值构建反映目标出现概率灰度图；均值移位算法在生成灰度图中快速定位目标位置。对比实验结果表明，改进的直方图映射算法从根本上抑止模型背景干扰，均值移位算法准确定位目标；系统能实时准确跟踪运动目标。-An improved histogram mapping and integration of the mean shift tracking algorithm, according to the target model histogram of the ratio coefficient of each component index tables, index number for the color value, index the content for the color corresponding to the normalized histogram of target model , in the index table query input image color value for establishing the probability of targets grayscale mean shift algorithm to generate grayscale quickly locate the target location. Comparison of experimental results show that the improved histogram mapping algorithm fundamentally suppress background interference model, the mean shift algorithm for accurate targeting system is able to accurately track moving objects. Platform: |
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Author:wy |
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Description: 基于OpenCV实现的图像特征区域跟踪程序，基于类Mean-Shift实现的颜色直方图概率匹配算法，可同时跟踪6个特定目标区域。-OpenCV implementation of image features based on regional tracking program, based on class Mean-Shift probability of achieving the color histogram matching algorithm, which can track a specific target area 6. Platform: |
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Author:gbcgbc |
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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: |
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Author:kitty |
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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: 室外场景下由于场景背景条件变化容易导致视频目标跟踪稳定性差。该文提出一种利用红外和可见光传感
器的双通道视频目标跟踪方法。该算法利用可见光图像的目标颜色特征和红外图像的目标轮廓特征，结合均值漂移
算法与水平集曲线演化实现目标定位，并给出了目标尺度和模板更新方法；对多目标跟踪的互相遮挡问题，通过判
断目标合并与分离实现遮挡时多个目标的定位。实验结果表明，该文方法能够有效处理光照变化、阴影、遮挡等情
况，实现目标的稳定跟踪。-Considering the poor stability of the video object tracking methods in outdoor scenes when the
background circumstance variation in object images occurs, a new method is presented for object tracking based on
infrared and visible dual-channel video. It extracts the Hue, Saturation, Value (HSV) color feature in visible image
and the contour feature in infrared image, and combines the Mean Shift (MS) algorithm and the level set evolution
algorithm to realize object location, also, the object scalar and model update mechanism is presented. To address
the multiple object occlusion problems, a method is presented to locate multiple objects by determining the object
merger and separation. Experimental results on infrared and visible dual-channel video demonstrate that the
proposed method can successfully cope with the cases in complex environment such as illumination changes,
shadow, occlusion, etc.. Platform: |
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Author:majun |
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Description: ：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多
特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究，
提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一
种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。
为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明，
该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。-: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve. Platform: |
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Author:张娜 |
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Description: 针对mean shift 跟踪方法中存在的光照变化不稳定问题， 提出了基于梯度特征与彩色
特征相融合的mean shift 跟踪方法。首先分别提取目标的梯度特征和彩色特征，利用多尺度的相似度
计算方法进行特征的匹配，然后通过最大化相似度对目标进行跟踪。通过物体和人体等运动目标的跟
踪，验证了改进的跟踪算法在光照变化情况下的鲁棒性优于原有的算法，显著降低了跟踪位置误差。-The instability of the light changes in the mean shift tracking method, the mean shift tracking method based on gradient features and color characteristics of fusion. First extract gradient features and color features of the target, the similarity calculation method using multi-scale feature matching, and then maximize the similarity of the target track. Through the tracking of objects and people moving target, verify the robustness of the improved tracking algorithm in the case of illumination changes is better than the original algorithm significantly reduces the tracking position error. Platform: |
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Author:张娜 |
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Description: 结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。 -Meanshift kalman filtering combined tracking algorithm, meanshift algorithm is a classic mean shift tracking algorithm using color histogram as a tracking feature, with high stability and robustness, kalman filter is a linear filter prediction algorithm. Meanshift algorithm introduced in kalman filtering algorithm can improve the stability, while improving the efficiency of algorithms. In addition to avi video format code reading using opencv library functions, core algorithms are pure C++ achieved, detailed notes, it is easy to understand, but also has a high reference value. Platform: |
Size: 15360 |
Author:roc |
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Description: 目标跟踪部分采用颜色空间与纹理特征结合的方式，实现建模。-In the part of target tracking, adopts the method combination with color space,texture characteristics,Mean-Shift and kalman filter,to achieve the goal. Platform: |
Size: 629760 |
Author:Florayixi |
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Description: opencv下实现基于均值漂移的追踪技术，运行程序是，用鼠标框选择一个有颜色的物体，可以对它进行追踪操作-Opencv under the mean shift based tracking technology, running the program is to use the mouse to a color object, you can track the operation Platform: |
Size: 9431040 |
Author:林凯 |
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Search - mean shift color tracking