Description: Abstract: Effective data processing is required with the fast development of multimedia technology. Compressed-domain images/video processing techniques have captured the attention of many researchers in recent years, and research on face detection and tracking in compressed-domain video becomes a new trend. Based on the analysis of the background and research status, some important future directions are presented.
Key words: face detection；face tracking；compressed domain -Abstract : Effective data processing is required with the fast development of multimedia technology. Co. mpressed-domain images / video processing Edge (have captured the attention of many res earchers in recent years, and research on face detection and tracking in c Item-domain video becomes a new trend. Ba sed on the analysis of the background and resear ch status, some important future directions are presente d. Key words : face detection; face tracking; compressed domain Platform: |
Size: 145339 |
Author:黄永 |
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Description: Abstract: Effective data processing is required with the fast development of multimedia technology. Compressed-domain images/video processing techniques have captured the attention of many researchers in recent years, and research on face detection and tracking in compressed-domain video becomes a new trend. Based on the analysis of the background and research status, some important future directions are presented.
Key words: face detection；face tracking；compressed domain -Abstract : Effective data processing is required with the fast development of multimedia technology. Co. mpressed-domain images/video processing Edge (have captured the attention of many res earchers in recent years, and research on face detection and tracking in c Item-domain video becomes a new trend. Ba sed on the analysis of the background and resear ch status, some important future directions are presente d. Key words : face detection; face tracking; compressed domain Platform: |
Size: 145408 |
Author:黄永 |
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Description: 一个不错的基于Opencv与VC环境的视频采集图像滤波与角点检测运动跟踪的vc程序.可以实现opencv图像滤波，opencv人脸角点检测，opencv运动跟踪程序，在该程序界面上可进行以上每个功能测试.-Based on a good environment Opencv with VC Video Capture Image Filtering and corner detection campaign tracking procedures vc. Opencv image filtering can be achieved, opencv face corner detection, opencv campaign tracking procedures in the program interface can be carried out each functional testing. Platform: |
Size: 256000 |
Author:vera |
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Description: 人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换色彩空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。-Face recognition technology can be applied to Web-based authentication, we realize the face recognition based on the WebCam with the tracking system. This paper collected WebCam video stream for the data source, the interception of the video stream in the single frame images, through the color space conversion, color facial modeling, post-processing operation and Face Location Algorithm for Face Detection realized as the basis for the realize in the video stream for tracking human faces. The experimental results show that we realize the face recognition algorithm applied to close-up face detection, can be applied to authentication based on the WebCam. Platform: |
Size: 1091584 |
Author:chenshi |
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Description: 人脸检测新资料\视频中的人脸检测跟踪技术及其应用-Face detection of new information in the video tracking of human face detection technology and its applications Platform: |
Size: 3106816 |
Author:李一 |
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Description: 视频序列中的人脸检测与跟踪算法研究
图像中的人脸信息分析对于生物特征识别、人机交互，视频监控、基于内容的图像检索、图像编码、视频会议等方面具有着广泛的应用前景，然而要想对人脸信息进行分析，一个首要的问题就是要先在图像或视频序列中检测或跟踪到人脸，否则人脸信息分析也就无从谈起。本文的研究主题正是视频序列中的人脸检测与跟踪技术-Video sequences of face detection and tracking algorithm for human face image information analysis for biometric identification, human-computer interaction, video surveillance, content-based image retrieval, image coding, video conferencing, etc. with a wide range of applications, However, in order to face on an analysis of information, a First and foremost is the first in the images or video sequences in the detection or tracking of the human face, or else face information analysis will be out of the question. This study is the subject of video sequences in the human face detection and tracking technology Platform: |
Size: 7945216 |
Author:QHLee |
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Description: 视频目标跟踪中的人脸检测，包括文章加程序-Video target tracking in the face detection, including procedures for the article plus Platform: |
Size: 1335296 |
Author:于晓辉 |
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Description: 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks.
This paper presents the algorithms for all types of face images in the presence of several image conditions. There are two main stages. In
the first stage, the faces are detected from an original image by using Canny edge detection and our proposed average face templates.
Second, a proposed neural visual model (NVM) is used to recognize all possibilities of facial feature positions. Input parameters are
obtained from the positions of facial features and the face characteristics that are low sensitive to intensity change. Finally, to improve
the results, image dilation is applied for removing some irrelevant regions. Additionally, the algorithms can be extended to rotational
invariance problem by using Radon tran Platform: |
Size: 3771392 |
Author:刘宋 |
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Description: 人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。 -Face recognition can be applied to identity authentication on Internet, now we have realized face recognition and tracking system based on WebCam. This essay takes video flowing collected from WebCam as data source, and cuts off Single frame in video flowing. It has realized face detection through transforming colored space, complexion modeling, aftertreatment and face orient algorithms, and based on which the essay has realized face tracking in video flowing.The result of the test shows that the face detection algorithms we realized adapts to short distant face detection, and also can be used as identity authentication based on WebCam. Platform: |
Size: 225280 |
Author:swl |
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Description: 视频中人脸检测和跟踪的几篇硕博士论文，对学习这方面的研究人士还是很有用的。-Video Human face detection and tracking of several degrees in thesis research in this area of learning are still very useful. Platform: |
Size: 38078464 |
Author:高海鹏 |
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Description: The project tends to detect and track human face in a video via some basic algorithms. It uses adaboost for detection and camshift for tracking. It works well in stable environment. Platform: |
Size: 4370432 |
Author:linuszhao |
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Description: Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluation of the algorithm shows similar performance in terms of detection rate as state of the art algorithms. Moreover, unlike state of the art algorithms,our system can be quickly trained before detection is possible. Performance is considerably increased in terms of lower computational cost and lower false detection rate when combined with motion constraint given by moving objects in video sequences. The detected HOG features are integrated within a tracking framework and allow reliable face tracking results in several tested surveillance video sequences. Platform: |
Size: 293888 |
Author:linuszhao |
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Description: 本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。-WebCam collection of streaming video as a data source, single image in the interception of the video stream, by converting the color space, the face color modeling, post-processing operations and face detection algorithm to achieve a face detection, and on this basis for face tracking in video streams. The test results show that we achieve recognition algorithm is applied to close the face detection, can be applied to WebCam-based authentication. Platform: |
Size: 2860032 |
Author:陈涛 |
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Description: 视频跟踪是视频信息处理的一个重要研究方向。交通信息管理、公安刑事侦查过程中人的跟踪占有很大比例。基于人脸特征的视频跟踪主要研究视频信息中人脸特征的提取，人脸特征的对比算法，人的运动的分析方法，及跟踪方法，跟踪结果的表示。- criminal investigation,anti-terrorism and military installations. Consequently, to recognize person identity speedy and exactly in large-scale crowd has become an important way to protect the public social security, guarantee national harmony and reinforce pre-warning capability in public safety.This paper designs a real time automatic face detection, tracking and recognition system for video, which can detect, track faces and recognize human identity within the scope of video. The system consists of three parts, which are multi-face detection, multi-face tracking and identity recognition.
For face detection, this paper presents an face detection algorithm called Adaboost-ASM face detection algorithm, combines Adaboost face detection algorithm with the adaptive shape model (ASM), to solve the problem that Adaboost face detection algorithm recognizes the non-face region and complex region as a face region mistakenly.Finally, the Adaboost-ASM algorithm achieves the real time face Platform: |
Size: 641024 |
Author:bai |
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Description: This thesis proposes a novel algorithm for integrated face detection and face tracking
based on the synthesis of an adaptive particle filtering algorithm and an AdaBoost face detection
algorithm. A novel Adaptive Particle Filter (APF), based on a new sampling technique, is
proposed to obtain accurate estimation of the proposal distribution and the posterior distribution
for accurate tracking in video sequences. The proposed scheme, termed a Boosted Adaptive
Particle Filter (BAPF), combines the APF with the AdaBoost algorithm. The AdaBoost
algorithm is used to detect faces in input image frames, while the APF algorithm is designed to
track faces in video sequences. The proposed BAPF algorithm is employed for face detection,
face verification, and face tracking in video sequences. Experimental results confirm that the
proposed BAPF algorithm provides a means for robust face detection and accurate face tracking
under various tracking scenarios. Platform: |
Size: 1057792 |
Author:Trabelsi |
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Description: 在视频监控领域，人脸检测是一个重要的方向，本代码就是针对人脸检测和跟踪的-In the field of video surveillance, face detection is an important direction, this code is for face detection and tracking Platform: |
Size: 259072 |
Author:王慧 |
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Description: 人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的，因此适合于功率受限的应用。(Face detection and tracking is an important and active research field, and it has a wide range of applications in video surveillance, biometrics, video coding and other fields. The goal of the project is to implement real-time systems on the FPGA board to detect and track faces. Face detection algorithms include skin segmentation and image filtering. The location of the human face is determined by calculating the centroid of the detected region. The software version of the algorithm is implemented independently and tested on MATLAB still images. Although the conversion from MATLAB to Verilog is not as smooth as expected, the experimental results demonstrate the accuracy and effectiveness of real-time systems, even in different light, facial gestures and color conditions. All hardware implementations are performed in real-time with minimal computational complexity and are therefore suitable for power constrained applications.) Platform: |
Size: 63488 |
Author:合发
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Description: 详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important) Platform: |
Size: 1324032 |
Author:糖糖的小糖
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Description: 人脸作为图像与视频中最重要的视觉对象之一，是智能人机接口等许多应用的处理目标对象。近年来，人脸检测技术在模式识别、计算机视觉、人机交互等诸多领域引起了普遍重视。之所以人脸检测技术在当今计算机视觉等领域的研究中占有重要的地位并成为研究焦点，主要在于以下两个方面：一方面将人脸作为基本是绝对想来考虑，子等检测与定位人脸是实现人脸识别、人脸跟踪、表情识别、人联合成与人脸编码、唇读等技术的必要前提(Face is one of the most important visual objects in image and video, and it is the target of many applications such as intelligent human computer interface. In recent years, face detection technology has attracted widespread attention in many fields, such as pattern recognition, computer vision, human-computer interaction and so on. The research of face detection technology in the field of computer vision and other plays an important role and become the focus of research, mainly in the following two aspects: on the one hand will face as basic is absolutely want to consider, such as face detection and location is a prerequisite for face recognition, face tracking, face recognition, and joint face encoding, lip reading technology; on the other hand) Platform: |
Size: 651264 |
Author:alicemlp
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Description: 该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示：
第1章 OpenCV的探险之旅;
第2章 OpenCV基础知识介绍;
第3章 图形用户界面和基本滤波;
第4章 深入研究直方图和滤波器;
第5章 自动光学检测、目标分割和检测;
第6章 学习目标分类;
第7章 识别人脸部分并覆盖面具;
第8章 视频监控、背景建模和形态学操作;
第9章 学习对象跟踪;
第10章 文本识别中的分割算法;
第11章 使用Tesseract识别文本;(The archive contains the Chinese version of "OpenCV By Example" and the example program. The contents of this book are as follows:
Chapter 1 An expedition to OpenCV;
Chapter 2 OpenCV basic knowledge introduction;
Chapter 3 Graphical user interface and basic filtering;
Chapter 4 In-depth study of histogram and filter;
Chapter 5 Automatic optical detection, object segmentation and detection;
Chapter 6 Learning object classification;
Chapter 7 Identify the face part and cover the mask.
Chapter 8 Video surveillance, background modeling and morphological operation.
Chapter 9 Learning object tracking;
Chapter 10 The segmentation algorithm in text recognition;
Chapter 11 Using Tesseract to identify the text;) Platform: |
Size: 66423808 |
Author:flypig1994 |
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Search - face detection and tracking in video