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: 人脸检测及跟踪是属于计算机视觉与模式识别研究领域的一个重要分支，它作为人脸信息处理中的一项关键技术，在基于内容的图像与视频检索、视频监控与跟踪、视频会议以及智能人机交互等方面都有着重要的应用价值。-Face detection and tracking is a computer vision and pattern recognition research area an important branch of facial information as a key deal with technology, content-based image and video retrieval, video surveillance and tracking, video conferencing and intelligent areas such as human-computer interaction have important application value. Platform: |
Size: 5865472 |
Author:阳关 |
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Description: The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. -The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. Platform: |
Size: 194560 |
Author:曲亚武 |
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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: 视频环景下的人脸检测，并将图片保存下来。程序经试验，效果不错-Video Central downturn Face Detection and image preserved. Procedures by the test, good results Platform: |
Size: 10447872 |
Author:钱靖 |
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Description: 用OpenCV编写的一个用来检测人脸的程序，可输入图片或者视频文件，也可打开摄像头进行实时检测。检测速度快，准确度高。
-OpenCV prepared with a human face to detect the process, enter the picture or video files can also be open to conduct real-time detection camera. Detection speed and high accuracy. Platform: |
Size: 7272448 |
Author:sdfadf |
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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: 人脸识别论文：《采用Adaboost算法进行面部表情识别》《动态权值预划分实值Adaboost人脸检测算法》《改进的AdaBoost分类器在视频中的体育场景检测》-Face recognition thesis: the use of Adaboost algorithm to identify facial expressions, dynamic weight pre-classified real Adaboost face detection algorithm, Improved AdaBoost classifier of sports in the video scene detection Platform: |
Size: 520192 |
Author:王云 |
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Description: 這是一本電子書，介紹openCV的功能，有了他就可以輕鬆的處理影像視訊，並具備許多統計及機器學習的function。可以輕鬆的做到人臉偵測的功能-This is an e-book, Introduction openCV function, with relaxed he can deal with video images, and have lot of statistics and machine learning function. Relaxed people can do face detection function Platform: |
Size: 10756096 |
Author:發發 |
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Description: 都是用matlab写的，复制到txt上了
（1）基于简单背景的人脸监测，针对视频，效果还不错，传的是txt，大家新建一个M文件，复制，然后把视频名与程序中的改成一致就可以了。
（2）对多椭圆的检测，非实际图像，无噪声，就是简单的椭圆，使用同上。-Are written with matlab, copy to the txt on the (1) human face based on a simple background monitoring, for video, the results were good, communication is the txt, you create a new M file, copy, and then the video name and program The change in line on it. (2) the detection of multi-elliptical, non-real image, no noise, that is a simple oval, use ibid. Platform: |
Size: 2048 |
Author:sss |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
Platform: |
Size: 2751488 |
Author:minu |
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Description: 用picture控件实现人脸检测画面界面显示和视频流的选择-Achieved with the picture control interface display screen face detection and video streaming options Platform: |
Size: 3991552 |
Author:彭磊 |
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Description: 用OPENCV 实现人脸的检测 ，可以是从摄像头输入，也可以是视频文件输入，还可以对图片检测。-OPENCV achieved with face detection, which can be imported from camera, video files can be imported, images can also detect. Platform: |
Size: 3859456 |
Author:胡宗亮 |
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Description: This paper will attempt to analyze and compare a number of different existing
approaches to human detection in video. Even though there have already been
a number a papers written on the topics of skin and face detection this paper
will go beyond these analyze, culminating in an open source package aimed at
anyone working with image processing and object recognition. I will provide a
comprehensive up to date open source package containing implementations of the
algorithms based on the most recent research concerning human presence detection.
The package will include libraries for skin, face, eyes detection which together can
be used for detecting human presence in video. The system is build so that it can
applied to both real-time data although with lower detection rate and static data
(images, video) for oine processing with higher detection rate. Platform: |
Size: 91136 |
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: 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: 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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Search - face detection with video