Description: 该程序用于将遥感图像上的地物按照不同的类别划分出来，并用不同的颜色标识，采用的方法为非监督分类-procedures for the use of remote sensing images of the object under different categories such. and the use of different colors, logos, and the methods used for non-supervised classification Platform: |
Size: 6316032 |
Author:葛平 |
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Description: 本书设计实例从面向对象的设计中精选出23个设计模式，总结了面向对象设计中最有价值的经验，并且用简洁可复用的形式表达出来。本书分类描述了一组设计良好，表达清楚的软件设计模式，这些模式在实用环境下有特别有用。
-Book design example from the design of object-oriented selection of 23 design patterns, object-oriented design sums up the most valuable experience and a concise form of reusable express. This book describes the classification of a group of well-designed to express a clear software design patterns, these models have in the practical environment particularly useful. Platform: |
Size: 7729152 |
Author:baifer |
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Description: 利用级联的Haar分类其寻找检测目标。核心函数cvHaarDetectObjects使用针对某目标物体的级联分类器在图像中找到包含目标物体的矩形区域，并将这些区域作为一系列的矩形框返回。-Haar cascade classification using its search for target detection. CvHaarDetectObjects core function for a target object using the cascade classifier found in the image of the rectangle that contains the object region, and these regions as a series of rectangular box to return. Platform: |
Size: 179200 |
Author:孔守斌 |
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Description: 利用VB與VC程式整合開發實現影像物體分類辨識的PLC輸送帶系統-VB and VC use of integrated development programs realize image object classification identification conveyor system PLC Platform: |
Size: 4096 |
Author:实姓名 |
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Description: One-Shot Learning of Object Categories
PAMI2006关于面向目标分类的重要论文。
主要解决在很少几个样本图像情况下，如何对目标图像进行新类学习的方法研究。-One-Shot Learning of Object CategoriesPAMI2006 on goal-oriented classification of the key papers. The main problems in the few samples of images, how images on the target for new types of learning methods. Platform: |
Size: 5426176 |
Author:eleyanz |
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Description: 这是Linux常用命令，已经按操作对象进行了分类，这对初学Linux的人很有帮助-This is commonly used Linux commands, has been carried out by the operation of object classification, which is very helpful to novice Linux people Platform: |
Size: 19456 |
Author:pudn |
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Description: O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》.
这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" . This is about the English literature to track moving target detection and classification of the article. The use of " the cyclical nature of human motion" , the goal of exercise is divided into people, people, motor vehicles. Has a strong reference value. Platform: |
Size: 1049600 |
Author:brk1985 |
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Description: Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征，结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many objectives of the classification of sports article. The use of commonly used aspect ratio as the classification of features, combining the characteristics of corner. Enhance the effect of vehicle classification. Platform: |
Size: 105472 |
Author:brk1985 |
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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: 贝叶斯分类器，利用后验概率，对已知属性对象进行分类-Bayesian classifier, the use of posterior probability of the known properties of the object classification Platform: |
Size: 3072 |
Author:孙巍巍 |
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Description: 利用物体的几何特征参数，和bp神经网络实现分类。-The use of the geometric characteristics of object parameters, and the realization of bp neural network classification. Platform: |
Size: 1024 |
Author:许飞扬 |
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Description: 支持向量机，用于图像分类分割，目标检测识别,人工智能信息处理-support vector machine has been widely used in classification and object identification. Platform: |
Size: 226304 |
Author:刘经纬 |
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Description: 模式识别中，多标签标记中的经典代码，主要用于场景分类，目标识别，结合svm和boost算法对自然场景进行分类，真的很不错，看看吧-Pattern Recognition, multi-tagged in the classic code, mainly used for scene classification, object recognition, combined with svm and boost the natural scene classification algorithm, it is really good, let' s see it Platform: |
Size: 1032192 |
Author:changfeng |
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Description: 一种基于最大熵和部件的物体检测方法。在人脸检测上的应用取得了很大的准确率提升。-This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance
of scale- or affine-invariant keypoints. Object classes are represented using a dictionary of composite semi-local parts, or groups of neighboring keypoints with stable and
distinctive appearance and geometric layout. A discriminative
maximum entropy framework is used to learn the posterior
distribution of the class label given the occurrences
of parts from the dictionary in the training set. Experiments
on two texture and two object databases demonstrate the
effectiveness of this framework for visual classification. Platform: |
Size: 2328576 |
Author:刘馨惠 |
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Description: It is useful to developer who ieterest with detecting object in video surveillance system Platform: |
Size: 338944 |
Author:wefwef |
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Description: 该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示：
第1章 OpenCV的探险之旅;
第2章 OpenCV基础知识介绍;
第3章 图形用户界面和基本滤波;
第4章 深入研究直方图和滤波器;
第5章 自动光学检测、目标分割和检测;
第6章 学习目标分类;
第7章 识别人脸部分并覆盖面具;
第8章 视频监控、背景建模和形态学操作;
第9章 学习对象跟踪;
第10章 文本识别中的分割算法;
第11章 使用Tesseract识别文本;(The archive contains the Chinese version of "OpenCV By Example" and the example program. The contents of this book are as follows:
Chapter 1 An expedition to OpenCV;
Chapter 2 OpenCV basic knowledge introduction;
Chapter 3 Graphical user interface and basic filtering;
Chapter 4 In-depth study of histogram and filter;
Chapter 5 Automatic optical detection, object segmentation and detection;
Chapter 6 Learning object classification;
Chapter 7 Identify the face part and cover the mask.
Chapter 8 Video surveillance, background modeling and morphological operation.
Chapter 9 Learning object tracking;
Chapter 10 The segmentation algorithm in text recognition;
Chapter 11 Using Tesseract to identify the text;) Platform: |
Size: 66423808 |
Author:flypig1994 |
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Search - Object Classification