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: |
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Author:黄永 |
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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 |
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Description: 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。
-Face Detection of C/C source code, once published in the OPENCV MAILING LIST. OPENCV mainly to the 3.1 release code so the speed of optimization, and the resolution of a memory leak problem. This procedure used by Paul Viola made (the paper "Rapid Object Detec tion using a Boosted Cascade of Simple Features , "published in CVPR 01) Ada Boosted Cascade algorithm can be said is the best and most fast target detection algorithm. Platform: |
Size: 4096 |
Author:qgfhit |
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Description: 人脸检测源代码完整版!有需要的朋友快来看看啊!-Face detection source code for full version! There is a need to fast来看看啊friends! Platform: |
Size: 136192 |
Author:张艳峰 |
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Description: 亮度人脸检测算法，能快速识别人脸，精度高，速度快-Brightness of face detection algorithm to quickly identify human faces, high precision, fast Platform: |
Size: 1024 |
Author:范一峰 |
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Description: 这是一个基于AdoBost的人脸检测,该方法的检测速度很快-This is a AdoBost-based Face Detection, the fast detection method Platform: |
Size: 5414912 |
Author:刘畅 |
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Description: 快速人脸检测系统，附带有测试图像和全部代码-Fast Face Detection System, with images and have tested all the code Platform: |
Size: 210944 |
Author:chenjia |
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Description: 本文的目的是借助Paul Viola最新提出的实时特征检测的技术，实现一个能够进行快速人脸检测的系统。并且通过训练，得到尽可能优化的分类器构造参数，从而获得具有高检测速度和检测正确率的人脸检测系统。-The purpose of this paper by drawing on the latest proposed by Paul Viola real-time feature detection technology, to realize a fast face detection system. Through training, to be as much as possible to optimize the classifier structure parameters to obtain a high detection speed and detection rate of correct face detection system. Platform: |
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Author:王峰 |
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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. Platform: |
Size: 23552 |
Author:王亮亮 |
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Description: 速度快功能强大的人脸检测程序,非常好用。基于Matlab的。-Fast powerful face detection procedures, very easy to use. Based on the Matlab. Platform: |
Size: 31744 |
Author:胡源 |
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Description: 人脸检测。用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像（或影像）中是
否存在人脸，如果存在则对人脸进行定位。人脸检测的应用领域相当广泛，是实
现机器智能化的重要步骤之一。
AdaBoost 算法是1995 年提出的一种快速人脸检测算法，是人脸检测领域里
程碑式的进步，这种算法根据弱学习的反馈，适应性地调整假设的错误率，使在
效率不降低的情况下，检测正确率得到了很大的提高。-Face Detection. Using c++ to prepare. Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces. Face detection applications of a wide range of intelligent machines to achieve one of the important steps. AdaBoost algorithm is proposed in 1995 a fast face detection algorithms, Face Detection is a landmark of progress in the field, the weak learning algorithm based on feedback, adaptive adjustment of the error rate assumptions, so that efficiency is not reduced in the case of , the detection accuracy has been greatly improved. Platform: |
Size: 897024 |
Author:ashura |
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Description: Viola-Jones Fast Face Detection的matlab实现。-Viola-Jones Fast Face Detection Mex Implementation Platform: |
Size: 1295360 |
Author:jiangshui |
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Description: This a two stage method in which at first image RGB compensated and then converted to YCbCr to normalise overall illumination of image.Its cascaded implementation of section 2.A of paper "A FAST SKIN REGION DETECTOR" by Phil Chen, Dr.Christos Greecos, ESC Division Research 2005,and section 2.1 of paper "Simple and Accurate Color Face Detection Algorithm in Complex Background" by YUI TING PAI et al. ICME 2006 . Please go through those papers for more details.-This is a two stage method in which at first image RGB compensated and then converted to YCbCr to normalise overall illumination of image.Its cascaded implementation of section 2.A of paper "A FAST SKIN REGION DETECTOR" by Phil Chen, Dr.Christos Greecos, ESC Division Research 2005,and section 2.1 of paper "Simple and Accurate Color Face Detection Algorithm in Complex Background" by YUI TING PAI et al. ICME 2006 . Please go through those papers for more details. Platform: |
Size: 2048 |
Author:王信傑 |
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Description: 从原始彩色图像中提取多阈值器官梯度图、双阈值肤色图、梯度方向图和灰度特征图等四种特征图像,并运用多姿态
知识模型和多姿态模板,实现了一种快速人脸检测算法
-Extracted from the original color image gradient map organ multi-threshold, dual-threshold color map and gray gradient patterns and other characteristics of the four characteristics of the image map, and use knowledge of multi-model and multi-gesture gesture templates to achieve a fast one Face Detection Algorithm Platform: |
Size: 696320 |
Author:程德志 |
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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: 提出一种基于改进的肤色分割和距离变换的快速人脸检测算法。该算法对传统肤色分割进行了改进,
使得肤色分割更加可靠,而且能够对图像中的多个人脸进行快速定位。-Proposed a color segmentation based on improved distance transform and Fast face detection algorithm. The traditional color segmentation algorithm has been improved, making the skin color segmentation is more reliable and able to face more than one person in the image for quick positioning. Platform: |
Size: 396288 |
Author:louc |
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Description: 本文是关于快速人脸检测的方法设计，主要提供思路，亮点在于实现人脸检测的速度快-This article is designed mainly to provide ideas on fast face detection, the highlight is the speed of face detection Platform: |
Size: 4455424 |
Author:kuangling |
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Search - fast face detection