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This paper describes a pedestrian detection system that integrates image intensity information
with motion information.
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清华大学葛俊峰的讲义：行人检测研究现状和常用方法 ,Tsinghua University, lectures葛俊峰: Pedestrian Detection and Research Methods
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adboost分类器 matlab源程序 用于训练样本 实现分类 ,adboost classfication
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基于opencv的人头统计算法程序，将文件解压出来即可使用-people count
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此程式碼可以用來偵測人類嘴巴,使用opencv和visualc++2005去實作.-This code can be used to detect the human mouth, using opencv and visual c++ 2005 to implement
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在做行人检测的毕设 看了很久OPENCV中cvhog的代码 自己加了些注释 希望对大家有所帮助 有问题可以探讨 chjb_0513@yahoo.com.cn-pedestrian detection OPENCV cvhog source code annotations
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用matla实现的行人检测，使用hog+adaboost的方法，内附程序运行时所需的大量训练及检测图片-Pedestrian Detection with matla achieved, the use of hog+ adaboost the method, enclosing the program is running a lot of training and testing images...
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基于空间梯度直方图的行人检测算法,基于空间梯度直方图的行人检测算法-Gradient histogram space-based pedestrian detection algorithm
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这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。-This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
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hog行人检测的算法，opcv实现的，注释中有函数功能介绍，对初学者很有帮助-hog pedestrian detection algorithm, opcv achieve the comment function Features, useful for beginners
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HOG特征行人检测 SVM支持向量机 分类-HOG feature pedestrian detection SVM support vector machine classification
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part of the major project on smart surveillance. evaluation of sampling- based detection
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行人检测 C++源码行人检测 C++行人检测源码-Pedestrian Detection Pedestrian Detection C++ source code C++ source pedestrian detection
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对于行人检测所有算法的总结，非常全面，非常纲要-For pedestrian detection algorithms summarize all, very comprehensive, very Outline
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基于多特征的AdaBoost行人检测算法, 提出一种融合灰
度和轮廓信息的新的多特征综合表示方法. 该方法通过统计样本的权重直方图建立分类模
型, 并用多个直方图的乘积表示样本在多特征下对应的联合概率分布-AdaBoost pedestrian detection algorithm based on multi-feature, presents a fusion of grayscale and contour information of the new multi-feature
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Hog + LBP + svm 行人检测-Hog+ LBP+ svm pedestrian detection
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行人检测源码 支持svm向量机，算法比较复杂，需要耐心-Pedestrian detection source
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行人检测.南开大学多媒体实验室的源码。是matlab。数据集是在caltech上。-pedestrian detection
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In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is dev
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Python+OpenCV实现的行人检测(Pedestrian Detection of Python + OpenCV Implementation)
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