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[Graph Recognize] FaceDetectionAndTrackingTechniquesInCompressed-Dom DL : 0: 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
Date : 2008-10-13 Size : 141.93kb User : 黄永
[Graph Recognize] FaceDetectionAndTrackingTechniquesInCompressed-Dom DL : 0: 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
Date : 2025-12-24 Size : 142kb User : 黄永
[Graph Recognize] renlianshibiejshu DL : 0: 介绍人脸识别技术的应用背景及研究现状，还有人脸识别技术当前存在的问题。-Introduce Face Recognition technology and research background of the status quo, but also the current face recognition technology problems.
Date : 2025-12-24 Size : 8kb User : 孙建青
[Graph Recognize] detectionofmotionpeople DL : 0: 在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分析包括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研究前景。-Extensively studied in previous work on the basis of the figures in this article on the movement detection, tracking and recognition are reviewed. To enable a clear understanding of classification, motion analysis of figures in this article will be divided into two categories: human motion analysis, analysis of human faces. Analysis of human motion including the relatively large body movements, such as gesture recognition, gait analysis, motion analysis of the human body Facial analysis includes face detection and recognition, facial expression analysis. In the study described in detail the status quo at home and abroad, the proposed study of the problems and prospects.
Date : 2025-12-24 Size : 349kb User : martin
[Graph Recognize] ImageProcessing DL : 0: 图像特征提取是图像识别的关键步骤,图像特征提取的效果如何直接决定着图像识别的效果. 如何从原始图像中提取具有较强表示能力的图像特征是智能图像处理的一个研究热点. 本文旨在介绍各种图像特征提取方法的基本思想、特点和研究发展现状, -Image feature extraction is a key step in image recognition, image feature extraction directly determines how the effect of image recognition. How to extract from the original image has a strong image that is characterized by the ability of intelligent image processing of a research hot spot. The purpose of this paper introducing a wide range of image feature extraction methods of the basic ideas, research and development characteristics and the status quo,
Date : 2025-12-24 Size : 344kb User : 冯帅帅
[Graph Recognize] p2 DL : 0: 高速公路交通拥挤状态自动识别方法研究.rar-Highway traffic congestion status of automatic identification method
Date : 2025-12-24 Size : 842kb User : substitute
[Graph Recognize] 1234567 DL : 0: 手指静脉识别技术研究发展现状综述，适用于静脉识别研究参考学习-Finger vein recognition technology research and development status overview
Date : 2025-12-24 Size : 164kb User : 木子
[Graph Recognize] svmclassify DL : 0: 火灾图片分类，用于区分火灾和正常森林状态的matlab代码，正确率达到95 。-Fire image classification, is used to distinguish between normal forest fires and status of matlab code, and the accuracy reaches 95 .
Date : 2025-12-24 Size : 1kb User : 王硕根
[Graph Recognize] Headlight-test-library DL : 0: 主要针对车尾灯进行标注，每幅图片对车尾灯的位置，状态（左转右转）进行标注，生成txt文档，用于对车灯识别程序的准确性参考(Mainly for taillights are labeled, each picture of the car taillights location, status (Zuozhuanyouzhuan) tagging, generate txt documents, for the accuracy of the identification procedures lights reference)
Date : 2025-12-24 Size : 1.42mb User : wangN