登录
首页 » matlab » traffic-sign-detection-master

traffic-sign-detection-master

于 2018-05-11 发布 文件大小:8293KB
0 162
下载积分: 1 下载次数: 25

代码说明:

  利用SVM模型来完成对交通标志进行检测和识别(The SVM model is used to detect and identify traffic signs.)

文件列表:

traffic-sign-detection-master, 0 , 2016-03-20
traffic-sign-detection-master\.gitignore, 17 , 2016-03-20
traffic-sign-detection-master\SVMModels, 0 , 2016-03-20
traffic-sign-detection-master\SVMModels\mandatory_SVMModel.mat, 508771 , 2016-03-20
traffic-sign-detection-master\SVMModels\prohibitory_SVMModel.mat, 22915 , 2016-03-20
traffic-sign-detection-master\code, 0 , 2016-03-20
traffic-sign-detection-master\code\TSD_readGTData.m, 2924 , 2016-03-20
traffic-sign-detection-master\code\bm_getJaccardCoefficient.m, 908 , 2016-03-20
traffic-sign-detection-master\code\f_apply_svm.m, 523 , 2016-03-20
traffic-sign-detection-master\code\f_display_roi.asv, 362 , 2016-03-20
traffic-sign-detection-master\code\f_display_roi.m, 369 , 2016-03-20
traffic-sign-detection-master\code\f_flip_and_resize.m, 138 , 2016-03-20
traffic-sign-detection-master\code\f_generateColorTrainingData.m, 2295 , 2016-03-20
traffic-sign-detection-master\code\f_generateNegativeTrainingData.m, 1751 , 2016-03-20
traffic-sign-detection-master\code\f_generate_color_features.m, 836 , 2016-03-20
traffic-sign-detection-master\code\f_generate_recognition_testing_data.m, 1719 , 2016-03-20
traffic-sign-detection-master\code\f_generate_recognition_training_data.m, 1866 , 2016-03-20
traffic-sign-detection-master\code\f_hand_pick_color.m, 1679 , 2016-03-20
traffic-sign-detection-master\code\f_hog.m, 1521 , 2016-03-20
traffic-sign-detection-master\code\f_mygradient.m, 309 , 2016-03-20
traffic-sign-detection-master\code\f_template_matching.m, 4288 , 2016-03-20
traffic-sign-detection-master\code\f_train_recognition_svm.m, 381 , 2016-03-20
traffic-sign-detection-master\code\f_train_svm.m, 278 , 2016-03-20
traffic-sign-detection-master\code\io_readTxtFile.m, 2054 , 2016-03-20
traffic-sign-detection-master\code\s_apply_svm_to_data.m, 1499 , 2016-03-20
traffic-sign-detection-master\code\s_flip_and_resize_templates.m, 508 , 2016-03-20
traffic-sign-detection-master\code\s_generateNegativeTrainingData.m, 641 , 2016-03-20
traffic-sign-detection-master\code\s_generate_recognition_test_data.m, 1544 , 2016-03-20
traffic-sign-detection-master\code\s_generate_recognition_training_data.m, 1487 , 2016-03-20
traffic-sign-detection-master\code\s_generate_recognition_training_data.m~, 1800 , 2016-03-20
traffic-sign-detection-master\code\s_get_rois.m, 1072 , 2016-03-20
traffic-sign-detection-master\code\s_readData.m, 292 , 2016-03-20
traffic-sign-detection-master\code\s_test_hue_sat_hist.m, 143 , 2016-03-20
traffic-sign-detection-master\code\s_train_recognition_svm.m, 791 , 2016-03-20
traffic-sign-detection-master\code\temp.mat, 791 , 2016-03-20
traffic-sign-detection-master\danger, 0 , 2016-03-20
traffic-sign-detection-master\danger\templates, 0 , 2016-03-20
traffic-sign-detection-master\danger\templates\template1.png, 746 , 2016-03-20
traffic-sign-detection-master\danger\templates\template10.png, 736 , 2016-03-20
traffic-sign-detection-master\danger\templates\template2.png, 737 , 2016-03-20
traffic-sign-detection-master\danger\templates\template3.png, 739 , 2016-03-20
traffic-sign-detection-master\danger\templates\template4.png, 735 , 2016-03-20
traffic-sign-detection-master\danger\templates\template5.png, 741 , 2016-03-20
traffic-sign-detection-master\danger\templates\template6.png, 739 , 2016-03-20
traffic-sign-detection-master\danger\templates\template7.png, 734 , 2016-03-20
traffic-sign-detection-master\danger\templates\template8.png, 730 , 2016-03-20
traffic-sign-detection-master\danger\templates\template9.png, 729 , 2016-03-20
traffic-sign-detection-master\data, 0 , 2016-03-20
traffic-sign-detection-master\data\negativeSamples.mat, 136761 , 2016-03-20
traffic-sign-detection-master\data\positiveSamples.mat, 35284 , 2016-03-20
traffic-sign-detection-master\data\recognitonModels.mat, 3924325 , 2016-03-20
traffic-sign-detection-master\files, 0 , 2016-03-20
traffic-sign-detection-master\files\gt.txt, 35282 , 2016-03-20
traffic-sign-detection-master\files\readme, 0 , 2016-03-20
traffic-sign-detection-master\files\readme\ReadMe.txt, 3256 , 2016-03-20
traffic-sign-detection-master\files\readme\gt.txt, 35282 , 2016-03-20
traffic-sign-detection-master\mandatory, 0 , 2016-03-20
traffic-sign-detection-master\mandatory\00001.mat, 2916105 , 2016-03-20
traffic-sign-detection-master\mandatory\templates, 0 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template1.png, 751 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template10.png, 742 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template11.png, 740 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template2.png, 750 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template3.png, 747 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template4.png, 742 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template5.png, 744 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template6.png, 739 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template7.png, 743 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template8.png, 742 , 2016-03-20
traffic-sign-detection-master\mandatory\templates\template9.png, 738 , 2016-03-20
traffic-sign-detection-master\prohibitory, 0 , 2016-03-20
traffic-sign-detection-master\prohibitory\00001.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00002.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00003.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00004.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00005.mat, 42713 , 2016-03-20
traffic-sign-detection-master\prohibitory\00006.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00007.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00008.mat, 42730 , 2016-03-20
traffic-sign-detection-master\prohibitory\00009.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00010.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00011.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00012.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00013.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00014.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00015.mat, 42765 , 2016-03-20
traffic-sign-detection-master\prohibitory\00016.mat, 42889 , 2016-03-20
traffic-sign-detection-master\prohibitory\00017.mat, 42713 , 2016-03-20
traffic-sign-detection-master\prohibitory\00018.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00019.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00020.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00021.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00022.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00023.mat, 42763 , 2016-03-20
traffic-sign-detection-master\prohibitory\00024.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00025.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00026.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00027.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00028.mat, 7892 , 2016-03-20
traffic-sign-detection-master\prohibitory\00029.mat, 7892 , 2016-03-20

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • TRAOD_Algorithm
    基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段,然后,在基于距离的异常检测方法的基础上,引入调整系数的概念,采用密度与距离相结合的方法进行异常轨迹检测。 (Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two granularities. Then the notion of adjustment coefficient is introduced on the basis of distance based anomaly detection method, and the abnormal trajectories are detected combining density and distance. )
    2020-11-08 18:09:47下载
    积分:1
  • 2008delauney
    08年新的Delaunay程序,很不错的!(Delaunay new 2008 program, it is good!)
    2020-10-28 09:09:59下载
    积分:1
  • LogOn-Package
    how to use win-logon
    2014-01-19 14:34:10下载
    积分:1
  • 划痕canny
    可以用于图像的canny滤波处理,直接输入图像,可以保存下来处理后的canny图像(It can be used for canny filtering of images, directly inputting images, and preserving processed canny images.)
    2019-05-21 17:17:57下载
    积分:1
  • VolumeRayCasting_101
    利用raycasting实现三维重建,直接体绘制,老外写的(raycasting volume rendering C++ C# vs2008)
    2019-04-20 08:58:59下载
    积分:1
  • 画线,园,矩,VC
    图形编程:画线,园,矩形,VC(graphical programming : line drawing, the landscape, rectangular, VC)
    2005-01-02 22:22:43下载
    积分:1
  • idl
    说明:  包括影像预处理,叶绿素反演,水污染监测等功能(Including image preprocessing, water pollution monitoring and other functions)
    2020-11-09 17:09:47下载
    积分:1
  • feature-selection
    对特征选择与提取进行介绍,及几个特征提取方法简介(For feature selection and extraction are introduced, and several feature extraction methods Introduction)
    2014-05-12 14:39:58下载
    积分:1
  • ShowJPEG
    显示JPEG图片的源码.........................................(show jpeg picture)
    2013-12-25 21:55:52下载
    积分:1
  • lzwGif
    gif格式图片生成,包括动画生成,是非常好的入门学习资料。(gif format image generation, including animation generation, is a very good learning materials.)
    2013-12-09 20:43:10下载
    积分:1
  • 696518资源总数
  • 106208会员总数
  • 21今日下载