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c++实现的HoG行人检测程序,优化了部分代码,且仿真可执行。-c++ HoG pedestrian detection procedures implemented to optimize the part of the code, and the simulation executable.
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用VC++平台开发,用opencv开发,用于行人身体检测并且进行身体灰度化。-With VC++ platform, using opencv developed for pedestrian detection and perform physical body gray.
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opencv 行人检测中用第一次产生的分类器检测负样本,得出hardexample-The first pedestrian detection using opencv generated classifier to detect negative samples drawn hardexample
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可以完整的进行行人轮廓的检测及背景提取和分析-Can complete pedestrian contour detection and background extraction and analysis
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行人检测、图像目标分类的相关特征如HOG,SIFT、LIOP、聚类等,对初始研究者有很大帮助。-Pedestrian detection, correlation feature of image classification as HOG, SIFT, LIOP, clustering, the initial investigators of great help.
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HOG即histogram of oriented gradient, 是用于目标检测的特征描述子,该技术将图像局部出现的方向梯度次数进行计数,该方法和边缘方向直方图、scale-invariant feature transform类似,不同的是hog的计算基于一致空间的密度矩阵来提高准确率。Navneet Dalal and Bill Triggs首先在05年的CVPR中提出HOG,用于静态图像or视频的行人检测。-HOG i.e. histogram of oriented gradien
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Latent SVM算法实现行人检测;需要opencv库-Latent SVM algorithm for pedestrian detection needing opencv library
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在复杂场景下多姿态行人检测与识别匹配方法研究-Pose pedestrian detection and identification matching research in complex scenes
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提取HOG特征,可以根据需要进行行人检测,HOG是进行人心检测的不二之选。提供的工程可以直接编译运行。-HOG feature extraction can be carried out according to the needs of pedestrian detection, HOG is conducted to detect people s choice. Providing engineering can be directly compiled to run.
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Readme for ODFS.
Author: Kaihua Zhang, HK POLYU
关于行人的检测matlab程序-Readme for ODFS Author:. Kaihua Zhang, HK POLYU on pedestrian detection matlab program
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基于Opencv的行人视频检测的代码,可以实现计数的功能-Video-based pedestrian detection code Opencv can realize the function of counting
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资料为MIT行人检测数据库,共924幅图片,大小为128*64,.png格式,可以用普通照片查看器查看。-Data for the MIT pedestrian detection database, a total of 924 pictures, the size of 128* 64,. Png format can be viewed with ordinary photos to view.
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行人检测程序,基于dShow和Opencv2.4.9读取视频文件或者摄像机视频数据,对每一帧图像进行行人检测-Pedestrian detection program, based dShow and Opencv2.4.9 read video files or video camera video data, each frame image for pedestrian detection
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国外行人检测经典算法,实现100帧/s的检测速率-Foreign pedestrian detection classic algorithm, the realization of the detection rate of 100 frames/s
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基于HOG+LBP+HIKSVM的行人检测算法matlab代码实现,里面包含了libsvm-mat-3.0-1软件包.-the algorithm implementation
of pedestrian detection based on the dates+ LBP+ HIKSVM,it contains the libsvm-mat-3.0-1 package
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采用Opencv2.3.1实现的行人检测代码,代码清晰简洁-The code for Pedestrian detection implemented by OpenCV2.3.1
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这是一个完整版,包含调用文件。整个视频可以用在不同尺度和位置计算得来的特征集进行表示。Hog3D描述子由Alexander Klaser Marcin Marszał ek Cordelia Schmid等人提出的,将HOG的概念扩展,由静态图像特征提取扩展到视频序列的特征提取,在视频序列中的行人检测取得了较好的成果。-This is a complete version, including calls to the file. The video can be used in dif
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这个是一个SVM分类器,可以再行人检测时用来分类训练样本,再MATLAB中直接调用-This is an SVM classifier, when pedestrian detection can be used to classify the training sample, and then directly call MATLAB
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利用opencv中的hog算法模块,对单张图片进行行人检测-Using the hog algorithm in the opencv module, and pedestrian detection in a single image
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很好的视频序列中行人检测及行人统计的方法。-Pedestrian detection and pedestrian count
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