Description: 面向视频监控的快速多人脸检测与分割
一篇不错的论文-Video Surveillance for Fast Face Detection and segmentation than a good paper Platform: |
Size: 558080 |
Author:shj |
Hits:
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 |
Hits:
Description: 采用SSE优化，基于C++写的人脸识别程序,可应用于视频监控系统中。-Using SSE optimization, based on the C++ Write the face recognition process can be applied to video surveillance systems. Platform: |
Size: 520192 |
Author:piit |
Hits:
Description: 人脸识别具有广泛的应用前景，诸如公安系统的罪犯身份识别，驾驶执照及护照与实际持证人的核对、行及海关的监控系统及自动门卫系统等-Face recognition has wide application prospects, such as the Public Security system offender identification, driving license and passport and the actual holder of the check, the Customs and surveillance system and automatic gate systems, etc. Platform: |
Size: 11264 |
Author:fengyu |
Hits:
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 |
Hits:
Description: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率- Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries , video meeting, and human-computer intelligent interactions.
The paper introduced the method of face recognition that based on the 24 bit multicolor image, Main content that the paper introduced is the picture treatment, It occupies the extremely important position in the whole software, the quality of picture process directly influenced the accuracy rate of localization and discerning. The picture process technology that the software mainly used included : light compensating、gauss smooth and twain value method. before discerning, we compensated the light for image, then we could obtain the possible face area through the complexion, finally, the system could depend on the symmetry of eyes to make sure whether it is the face of people, at the same time, the system could eliminate noises through the method that named gauss smoothness, then we use Platform: |
Size: 2286592 |
Author:张雨 |
Hits:
Description: Face recognition is a popular industry video surveillance technology, the use of biometric identification information and thus achieve the purpose of identity Platform: |
Size: 802816 |
Author:邱彦龙 |
Hits:
Description: c#视频监控全部源代码，用到的数据库是access数据库。-c# video surveillance all the source code, used in the database is access the database. Platform: |
Size: 3153920 |
Author:陈文奇 |
Hits:
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 |
Hits:
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: 14336 |
Author:minu |
Hits:
Description: 本文研究了数字视频监视系统中自动实现人脸检测和识别的技术。由于在身份鉴别、人机交互、图像检索和视觉监控等领域有着巨大的应用前景,人脸识别技术成为计算机视觉、模式识别等研究领域中一个很受关注的研究热点-In this paper, the digital video surveillance system automatically face detection and recognition technology. As identification, human-computer interaction, image retrieval and visual monitoring of such areas has great application prospect, face recognition technology as computer vision, pattern recognition and other areas of research in a popular research focus of concern Platform: |
Size: 1353728 |
Author:夏天 |
Hits:
Description: 人脸识别系统
人脸检测不仅是全自动人脸识别系统的基本步骤，而且本身也可以独立的应用于视频监控、图像检索等领域，因而具有重要的研究价值。尽管Viola等人于2001年提出的基于AdaBoost的人脸检测算法以其卓越的性能而得到了大家的青睐，并已基本解决了大多数情况下的人脸检测问题，但在实际应用中，尤其是智能监控应用中，仍然存在较多挑战性问题。-Automatic face detection face recognition system is not only the basic steps, and itself can be applied independently of the video surveillance, image retrieval and other fields, which have important research value. Although Viola, who in 2001 proposed the AdaBoost-based face detection algorithm for its outstanding performance and get everyone s favor, and has basically solved the majority of cases, the face detection problem, but in practical applications, in particular, Is an intelligent surveillance applications, there are still many challenging issues. Platform: |
Size: 157696 |
Author:吴嘉晔 |
Hits:
Description: Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety,
and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking problem into three
separate problems:
1. Detect a f ace to track
2. Identif y f acial f eatures to track
3. Track the f ace Platform: |
Size: 887808 |
Author:Nurita |
Hits:
Description: Abstract—Numerous methods have been developed for holistic face recognition with impressive performance. However, few studies
have tackled how to recognize an arbitrary patch of a face image. Partial faces frequently appear in unconstrained scenarios, with
images captured by surveillance cameras or handheld devices (e.g., mobile phones) in particular. Platform: |
Size: 1551360 |
Author:ibbu |
Hits:
Description: In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection of
faces along with the detection of some fiducial points, such
as the eyes and mouth, is the first step of the face recognition
system, and this step largely affects the performance of the
overall system. Platform: |
Size: 3897344 |
Author:HIYAM |
Hits:
Description: In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection of
faces along with the detection of some fiducial points, such
as the eyes and mouth, is the first step of the face recognition
system, and this step largely affects the performance of the
overall system. Platform: |
Size: 4150272 |
Author:HIYAM |
Hits:
Description: Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. These researches involve know-ledge and researchers disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. A bunch of papers have been published to overcome difference factors (such as illumination, ex-pression, scale, pose, ……) and achieve better recognition rate, while there is still no robust technique against uncontrolled practical cases which may involve kinds of factors simultaneously-Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. These researches involve know-ledge and researchers disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. A bunch of papers have been published to overcome difference factors (such as illumination, ex-pression, scale, pose, ……) and achieve better recognition rate, while there is still no robust technique against uncontrolled practical cases which may involve kinds of factors simultaneously Platform: |
Size: 4878336 |
Author:Jashpreet |
Hits:
Description: The final weight matrix is ??the filter coefficient, Achieve a grayscale image and further control for video surveillance, Face Recognition light treatment method. Platform: |
Size: 149504 |
Author:faogiumaobun
|
Hits:
Search - Surveillance face recognition