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Description: 人脸识别asm模板,提供脸部跟踪和asmlibrary,有助于人脸跟踪和识别的研究-Face of a small program that provides a simple method of face tracking and recognition, help in learning the image content retrieval
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Author: 彭俊杰 |
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Description: 识别是指人脸定位的任务在视频码流和识别的脸相匹配,他们对数据库的已知的脸。-Real time face tracking and recognition refers to the task of locating human faces in a video stream and identifying the faces by matching them against the database of known faces.
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Size: 7119872 |
Author: 马朔阳 |
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Description: 基于嵌入式linux的人脸检测跟踪系统。研究人脸检测的同学可以研究下-Embedded linux based face detection tracking system. Research students face detection can be studied under
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Size: 305152 |
Author: 吖秋 |
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Description: 基於OpenCV資料庫，使用視訊實現眼睛追蹤，開發環境使用Visual C++ 可以臉部辨識-OpenCV-based database, use a video eye-tracking the development environment using Visual C++ Face Recognition
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Size: 174080 |
Author: Civ |
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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: 基于adaboost和mean-shift视频中的人脸检测与跟踪识别-face detection and tracking recognition
of videoBased on adaboost and mean-shift
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Size: 5272576 |
Author: jianghui |
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Description: 基于AdaBoost和mean-shift视频中的人脸检测与跟踪识别-Based on AdaBoost and mean-shift video of face detection and tracking recognition
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Size: 18119680 |
Author: jianghui |
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Description: 本程序为基于OpenCV的人脸跟踪，采用Visual C++ 6为开发平台。-This program is face tracking based on OpenCV using the Visual C development platform....
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Size: 3072 |
Author: 三界外的游魂 |
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Description: 基于嵌入式Linux的便携式自动人脸检测与跟踪系统的应用研究.pdf-Portable automatic face detection and tracking system embedded Linux-based applications
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Size: 231424 |
Author: Linux |
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Description: In this paper, we present a comparison of four novel algorithms
that have been applied to the tracking of people in
an indoor scenario. Tracking is carried out in 3D or 2D
(ground plane) to provide position information for a variety
of surveillance, HCI or meeting-support services. The
algorithms, based on background subtraction, face detection,
particle filter feature-matching and edge alignment
of a cylindrical model are described and comparative results
presented using independent test data produced and
ground-truthed for the EU CHIL project.
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Size: 235520 |
Author: Daria |
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Description: Abstract— When skin areas like faces and hands are imaged under natural environments their color appearance is frequently
affected by variations in illumination intensity and chromaticity. In color-based skin tracking and detection, changing
intensity is often dismissed either with the use of normalized, intensity-invariant color coordinates or by additionally modeling
possible skin intensities. Chromaticity variations are rarely considered although they are common in practice. In most
approaches considering chromaticity the experiments are done with a small or undefined variation range. It is difficult to
compare different approaches and assess their applicability range for this reason. To improve the situation, we evaluate the
performance of four state-of-the-art methods under drastic but practically common illumination changes. The effect of
illumination chromaticity for skin is clearly defined, and based on it we draw conclusion about the performance of these
approaches.
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Size: 1176576 |
Author: Daria |
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Description: 自动人脸识别系统具有如图所示的一半框架并完成相应功能的任务。
（1）人脸图像的获取：一般来说，图像的获取都是通过摄像头摄取，氮摄取的图像可以是真人，也可以是人脸的图片或者为了相对简单，可以不考虑通过摄像头来摄取头像，而是直接给定要识别的图像。
（2）人脸的检测：人脸检测的任务是判断静态图像中是否存在人脸。若存在人脸，给出其在图像中的坐标位置，人脸区域大小等信息。而人脸跟踪需要进一步输出所检测到的人脸位置，大小等状态随时间的连续变化情况。
（3）特征提取通过人脸特征点的检测与标定可以确定人脸图像中显著特征点的位置（如眼睛，眉毛，鼻子，嘴巴等器官），同时还可以得到这些器官及其面部轮廓的形状信息的描述。-Automatic face recognition system has half of the framework as shown in the task and complete the corresponding function. (A) face image acquisition: In general, the image acquisition camera intake, nitrogen uptake of the image is real, is the picture of the face or to relatively simple, can not be considered through the camera head intake of the head, but given directly to the image you want to identify. (2) the detection of human faces: the face detection task is to determine whether there is a face in the static image. If there is a face, given the coordinates of the location in the image, the size of the face region. The face tracking needs further output the detected position of the face, size, state of continuous change over time. (3) feature extraction of facial feature points detection and image calibration can determine people face significant feature points (such as eyes, eyebrows, nose, mouth and other organs), but also can get the shape of these organs and their facial cont
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Size: 12288 |
Author: 蔡周杰 |
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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: FACE DETECTION ALGRITHM PAPER
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Size: 1085440 |
Author: Marius |
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Description: face tracking using visual studio c-face tracking using visual studio c++
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Size: 1595392 |
Author: sikandar |
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Description: 通过Luxand FaceSDK。编写java程序。实现实时人脸追踪。-The through Luxand FaceSDK. Write java program. Achieve real-time face tracking.
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Size: 9549824 |
Author: LL |
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Description: 人脸跟踪源代码，调试试能用在opencv上用
-Face Tracking the source code, debugging test can be used in opencv on
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Size: 35840 |
Author: chodayy |
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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: 活体检测及人脸跟踪系统的构建已成为现代计算机视觉及OpenCV研究的热点-In vivo detection and face tracking system, has become a modern building and the OpenCV computer vision research focus
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Size: 184320 |
Author: 唐浩 |
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Description: 提出一种人脸特征点跟踪方法。首先, 运用ASM 获取人脸的特征点, 然后在选用Lucas Kanade光流算法的基础
上, 将初始帧和当前帧的前一帧有机结合起来, 共同作为当前帧的参考来进行特征点跟踪。实验结果表明该方法对特征
点的跟踪有很好的效果。-Proposed a facial feature point tracking method. First, the use of the ASM obtaining human face feature point, and then in the selection of the the Lucas Kanade optical flow algorithm, based on, the initial frame and the current frame before a combine, as the current frame of reference common feature point tracking . Experimental results show that the method has a good effect on the tracking of the feature point.
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Size: 231424 |
Author: yaomeng |
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