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Description: 人脸通过肤色识别,单帧图像的人脸定位,彩色空间，以及彩色空间的转换-Face Recognition through color, and Single Image Face positioning, color space and color space conversion
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Size: 114688 |
Author: dengxin |
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Description: 一个外国人写的经典人脸检测原代码,其代码简洁明朗,很具有阅读性和研究价值-a foreigner to write the classic Face Detection original code, the code simple uncertainty, it is very reading and research value
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Size: 1364992 |
Author: 吴哲 |
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Description: 本人自己写的人脸识别软件，可以在正确识别后保存图片文件。-I wrote it myself face recognition software, can correctly identify the image file after the save.
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Size: 2817024 |
Author: 陆机 |
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Description: 基于kalman滤波和人脸形态约束的人脸跟踪算法实现，可在快速人脸跟踪的同时很好的去除类肤色的干扰，注意是基于OpenCV函数库的程序。-Based on kalman filtering and face shape Face Tracking bound algorithm may face in the fast track at the same time remove the category of very good color interference, the attention is based on the OpenCV library procedures.
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Size: 23552 |
Author: 王亮亮 |
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Description: A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions
suitable for gradient-based optimization, hence, the target localization problem can be formulated using
the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya
coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the
presented tracking examples the new method successfully coped with camera motion, partial occlusions,
clutter, and target scale variations. Integration with motion filters and data association techniques is also
discussed. We describe only few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.-A new approach toward target representation and localization, the central component in visual trackingof non-rigid objects, is proposed. The feature histogram based target representations are regularizedby spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functionssuitable for gradient-based optimization, hence, the target localization problem can be formulated usingthe basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyyacoefficient as similarity measure, and use the mean shift procedure to perform the optimization. In thepresented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is alsodiscussed. We describe only few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking .
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Size: 2779136 |
Author: |
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Description: Face Tracking in matlab
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Size: 3072 |
Author: Fake Ghot |
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Description: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.
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Size: 2459648 |
Author: Ali |
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Description: 应用于在地面有起始运动的卡尔曼滤波器。物体运动检测识别。-The filter was applied to trajectory of body that start motion on the ground with velocity start at angle 40 degrees. First part of the code generate this motion. Nose added to simulate nose of measurement or nose of object detection recognition. Then kalman filter applied and trajectory and velocity found.
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Size: 950272 |
Author: 阿童木 |
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Description: Real-Time Facial Feature Point Extraction-Localization of facial feature points is an important step for many subsequent facial image analysis tasks. In this paper, we proposed a new coarse-to-fine method for extracting 20 facial feature points from image sequences. In particular, the Viola-Jones face detection method is extended to detect small-scale facial components with wide shape variations, and linear Kalman filters are used to smoothly track the feature points by handling detection errors and head rotations. The proposed method achieved higher than 90 detection rate when tested on the BioID face database and the FG-NET facial expression database. Moreover, our method shows robust performance against the variation of face resolutions and facial expressions.
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Size: 871424 |
Author: Ng Jack |
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Description: tracking face, using open cv and kalman filter
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Size: 3064832 |
Author: rachid |
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Description: 人脸视频图像编码是近年来图像编码领域里的一个研究热点问题,它在通信、互联网等方面有着广泛的应用前景。人脸图像编码的研究包含很多子问题,主要的三个方面为:精确的人脸目标定位算法,实时的人脸目标跟踪算法和高效的人脸图像编码方法。本文的主要研究工作在于: 1) 提出帧间差分和背景差分相结合的人脸目标定位算法,在人脸特征选择上,主要使用形状特征,通过椭圆拟合来得到人脸的位置。 2) 采用基于Kalman滤波的运动预测方法对人脸的区域变化进行预测,以此缩小目标可能存在的区域(ROI).-Facial video image coding image compression in recent years a hot research topic in the field of the problem, it is in the communication, the Internet have a wide range of applications. Coding of face images contain many sub-problems, the main three are: accurate target location algorithm for face, real-time face tracking algorithm and efficient facial image coding method. This major research work are: 1) of the frame difference and background difference goal of combining face localization algorithm, feature selection in the human face, the main use of shape features, by ellipse fitting to get the location of the face. 2) Kalman filtering based motion prediction method changes the face of the region predicted to narrow the possible target area (ROI).
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Size: 1024 |
Author: 周参 |
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Description: 基于 Kalman Filter和 Particle Filter的 目标跟踪 脸部跟踪 object tracking c++程序 源码。 -C++ face tracking program code base on Kalman Filter and Particle Filter
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Size: 3072 |
Author: quanxi |
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Description: 该源码实现了基本的目标检测方面的功能。如肤色检测、卡尔曼滤波、降噪、人脸识别等等。-The source code to achieve the basic function of target detection. Such as skin color detection, Kalman filtering, noise reduction, face recognition and so on.
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Size: 4096 |
Author: 韩 |
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Description: 目前很多自动拍照系统可以自动检测人脸（或者其他部位），并给人脸上添加一些装饰产生比较有趣的场景，本程序在opencv的人脸检测基础上，添加kalman filter实现人脸的自动跟踪，在人脸的鼻子处添加一个猪鼻子，造成一种比较cute的场景。
资源包括可以直接运行的exe文件和相应的代码。
希望给大家一个参考-A lot of automatic camera system can automatically detect the face (or other parts), and gives a face to add some decoration to produce more interesting scenes, this program in opencv face detection on the basis of achieve automatic face tracking, add the kalman filteradd a pig nose, in the face of the nose, causing a cute scene.
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Size: 8398848 |
Author: 刘宋 |
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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.
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Size: 2325504 |
Author: 张娜 |
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Description: camshift和kalman跟踪算法的结合,个人拿来进行人脸跟踪,效果不错,代码可用!-camshift and kalman tracking algorithm combination of individuals used for face tracking, good results, code can be used ...
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Size: 6144 |
Author: 田冰 |
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Description: 卡尔曼滤波C程序源码 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决非常大部分的问题，他是最优，效率率最高甚甚至是最有用的。他的广泛应用已经超过30年，包含机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统和导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。
-C program source code of Kalman filter Kalman filter is an optimal recursive data processing algorithm (optimized the the autoregressive data processing algorithm) " . To solve the very most of the problems, he is the best, the efficiency of the highest rates of very even be the most useful. He' s widely used for more than 30 years, including robot navigation and control, and sensor data fusion even in the military radar system and missile tracking. In recent years, used in computer image processing, such as the head and face recognition, image segmentation, image edge detection.
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Size: 1024 |
Author: xinlnix |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an " optimal recursive data processing algorithm (since the handover optimization of data processing algorithms)." For solving most of the problems is that he is the best, the highest efficiency even the most useful. He has been widely used for more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the missile tracking radar systems and so on. In recent years it has been used on computer image processing, such as head and face recognition, image segmentation, image edge detection and so on.
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Size: 8192 |
Author: 马国豪 |
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Description: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.
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Size: 2439168 |
Author: Felix |
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Description: 简单来说，卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-In simple terms, the Kalman filter is an optimal recursive data processing algorithm (optimization autoregression data processing algorithms). To solve a large part of the problem, he is the best, most efficient even be the most useful. His wide range of applications has more than 30 years, including robot navigation, control, sensor data fusion even in the military and missile tracking radar systems and so on. In recent years, even it has been used in computer image processing, such as head and face recognition, image segmentation, edge detection and so on.
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Author: 王庭辉 |
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