Description: 人脸检测源代码. The souce demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification -Face detection source code. The souce demonstrates face detection SSE optimized C++ Library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification Platform: |
Size: 366592 |
Author:huangtyu |
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Description: 这是一篇有关运动目标分类的英文文献。这篇文献以离散度作为分类特征，利用时间一致性，提高了分类性能。内容也不是很深奥，相信对初学者有较大的帮助。-This is an article on the classification of moving targets in English literature. This dispersion in the literature as the classification features, use of time consistency, improve the classification performance. Content is not very profound, I believe there is more to help beginners. Platform: |
Size: 782336 |
Author:brk1985 |
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Description: 针对灰度图像，提出一种基于知识的人脸检测方法。
提出了一种给予支持向量机的人脸检测方法。
提出了一种基于小波分解的LDA人脸识别方法。
提出了一种基于小波和DCT的人脸识别方法。
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
-For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition. Platform: |
Size: 7113728 |
Author:yanyan |
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Description: 真实场景下视频运动目标自动提取方法.主要的研究内容包括运动物体检测，分类和跟踪，研究成果可以广泛地应用在交通管理系统，视频监视系统和军事目标跟踪系统，同时还可以应用在基于内容的视频数据压缩编码中。-Real video scenes under the automatic extraction method of moving targets. The main content includes moving object detection, classification and tracking, research results can be widely used in traffic management systems, video surveillance systems and military target tracking systems, but also can be applied to content-based video data compression coding. Platform: |
Size: 494592 |
Author:天子 |
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Description: 基于水平垂直投影图的人体动作分类器，贝叶斯分类方法，含样本图。可对视频文件实时检测，基于opencv库-Based on the level of the vertical projection of human action classification, and Bayesian classification methods, including sample plans. Video files can be real-time detection, based on the opencv library Platform: |
Size: 1937408 |
Author:sherry |
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Description: 運動識別
在摄像机监视的场景范围内，对出现的运动目标进行检测、分类及轨迹追踪，可应用于各种监控目的，如周界警戒及入侵检测、绊线检测、非法停车车辆检测等。-Movement Recognition ' scene in the scope of surveillance cameras, the emergence of the moving target detection, classification and tracking, monitoring can be applied to a variety of purposes, such as perimeter security and intrusion detection, tripwire detection, detection of illegal parking of vehicles. Platform: |
Size: 40960 |
Author:zhangjc |
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Description: 视频搜索中人脸识别关键技术的研究与实现。本文对人脸检测与识别技术进行了研究，实现了一个用于视频搜
索的自动人脸识别系统。该系统对输入的视频帧进行人脸检测和定
位，经过图像预处理之后，进行重要特征点Gabor一Fisher的特征提取
和分类识别。-Video search, face recognition and implementation of key technologies. In this paper, face detection and recognition technology has been studied to realize an automatic face recognition for video search system. The system of input video frames for face detection and location, after image pre-processing carried out following important features of a Fisher-point Gabor feature extraction and classification and recognition. Platform: |
Size: 4003840 |
Author:王帅 |
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Description: SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel.
-SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X--> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel.
Platform: |
Size: 109568 |
Author:jon |
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Description: SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel.
-SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X--> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regular SVMs, however, which consider only univariate predictions like in classification and regression, SVMstruct can predict complex objects y like trees, sequences, or sets. Examples of problems with complex outputs are natural language parsing, sequence alignment in protein homology detection, and markov models for part-of-speech tagging. The SVMstruct algorithm can also be used for linear-time training of binary and multi-class SVMs under the linear kernel.
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Size: 117760 |
Author:jon |
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Description: 运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、
标行为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。
-Moving target detection is the video surveillance system, the bottom is the target tracking, target classification, and so on the basis of standard behavior understanding, so video motion detection is the key link in image sequence processing. Platform: |
Size: 8201216 |
Author:欢 |
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Description: Locally Adaptive Sparse Representation for Detection, Classification, and Recognition. Lectuures given by Prof Trac Tran from john Hopkins university Platform: |
Size: 2105344 |
Author:huutan86 |
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Description: 运动检测，
Retrieval System
视频分类与检索，世界trieckvid大赛使用参考，-Motion detection, Retrieval System video classification and retrieval, use of the World Series trieckvid reference Platform: |
Size: 228352 |
Author:huweicn |
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Description: 视频人物检测代码
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-Video Video Retrieval System detection code characters video classification and retrieval, with reference to the World trieckvid Competition Platform: |
Size: 58368 |
Author:huweicn |
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Description: 对人脸检测所面临的问题进行探讨 ,分析有关人脸检测问题的研究方法 ,并对其进行分类和
评价。从基于模板的方法、 基于肤色模型的方法、 基于统计理论的方法三方面进行了阐述。分析各
种方法的优缺点 ,并提出了关于人脸检测问题的进一步研究方向-For face detection to explore the problems faced, analyzed the problem of face detection research methods, and its classification and evaluation. From a template-based approach, based on skin color model method, based on three aspects of the statistical theory of the method are described. Advantages and disadvantages of various methods of analysis and proposed face detection problem on further research directions Platform: |
Size: 161792 |
Author:louc |
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Description: 关于遥感影像分类和变化检测的一本外文数据，其特色在于用IDL实现了很多经典算法，很值得借鉴！-Foreign language data on a remote sensing image classification and change detection, which feature IDL achieve many classical algorithm, it is worth learning! Platform: |
Size: 2079744 |
Author:张溪 |
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Description: 图像自相似性计算。基于全局的图像自相似性计算的目标检测-
Global and Efficient Self-Similarity for Object Classification and Detection
From the methods in [1] this code allows to compute self-similarity
hypercubes (SSHs). These SSHs can be obtained from a prototype
assignment map M in two ways:
The first method extracts an SSH from a full image.
The second method extracts multiple SSHs from a single image jointly.
Platform: |
Size: 2222080 |
Author:宋志娜 |
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Description: The proposed system scans the Magnetic Resonance images of brain. The scanning is followed by preprocessing which enhances the input image and applies filter to it. After enhancement, the image undergoes segmentation and feature extractions. Based on the feature extraction the system identifies whether the tumor is cancerous or non - cancerous (benign). Platform: |
Size: 174779 |
Author:praba82 |
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Search - classification and detection