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: 通迁对原木节子轮廓的数学描述和对节子边缘点的确定，提出一种比较准确的寻找节子边缘点的视
频识别验证方法— 边缘检验算子法，对节子的形状进行有效的分析和脸证。提出了一种有效的节子数学描述和
视频处理方法，为节子的视频检侧技术提供了新的理论-Qualcomm moved on logs Setsuko the mathematical description contours and sub-section to determine the edge point, a more accurate search for the edge points Setsuko video identification verification method- the edge of test operator method, the shape of Setsuko effective analysis and face cards. Proposed an efficient mathematical description Setsuko and video processing method of sub-section of the video detection technology to provide a new theoretical Platform: |
Size: 132096 |
Author:xuyukun |
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Description: 基于opencv的图像和视频处理的软件。该软件实行了opencv的多种功能：边缘检测、拉氏变换、椒盐噪音、人脸识别、霍夫变换等功能。-Opencv-based image and video processing software. The software has multiple functions opencv: edge detection, Laplace transform, salt and pepper noise, face recognition, Hough transform functions. Platform: |
Size: 2910208 |
Author:陶应学 |
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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: 对拍摄得到的驾驶员视频帧图像, 使用复合肤色模型检测人脸 通过自适应边缘检测、 图像增强等方法处理得到
特征图像, 经特征区域筛选, 依据人脸先验知识匹配得到最佳人眼对 提取眼部特征向量, 结合 LVQ神经网络进行模式
识别检测眼部状态, 为判断驾驶员是否处于疲劳状态提供判据。-Video shot by the driver of the frame, the use of composite skin model of face detection through adaptive edge detection, image enhancement approach to be characteristic image, the feature area selection, based on prior knowledge of face matching the best human eye extracted eye feature vectors, combined with LVQ neural network pattern recognition detection of eye condition, to determine whether driver fatigue is provided in the criterion. Platform: |
Size: 106496 |
Author:廖减员 |
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Search - edge detection face video