登录
首页 » matlab » HaarPSRC=Vehicle-detection

HaarPSRC=Vehicle-detection

于 2013-07-31 发布 文件大小:11543KB
0 150
下载积分: 1 下载次数: 288

代码说明:

  运用harr特征+SRC(稀疏表示)分类实现的一种车辆检测方法,文件中提供了训练和测试车辆图片。由于时间原因,所用haar特征没有优化,维度过高,导致滑窗框图过慢,本代码只输出效果统计数据,以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

文件列表:

Haar特征%2BSRC(稀疏表示)分类的车辆检测
......................................\extHarrLikeFeature.m,1919,2007-10-26
......................................\GPSR_Basic.m,21922,2013-05-27
......................................\harrcartest.asv,1690,2013-05-27
......................................\harrcartest.m,1690,2013-05-27
......................................\IntegralImage.m,318,2007-06-29
......................................\result.mat,723339,2013-05-27
......................................\SRC.asv,3775,2013-05-28
......................................\SRC.m,3853,2013-05-28
......................................\test





......................................\....\t103.jpg,18073,2013-05-28
......................................\....\t104.jpg,16486,2013-05-28
......................................\....\t105.jpg,18746,2013-05-28
......................................\....\t106.jpg,18970,2013-05-28
......................................\....\t107.jpg,13443,2013-05-28
......................................\....\t108.jpg,13802,2013-05-28
......................................\....\t109.jpg,7284,2013-05-28
......................................\....\t11.jpg,13720,2013-05-28
......................................\....\t110.jpg,14939,2013-05-28
......................................\....\t111.jpg,18701,2013-05-28
......................................\....\t112.jpg,14178,2013-05-28
......................................\....\t113.jpg,26111,2013-05-28
......................................\....\t114.jpg,20142,2013-05-28
......................................\....\t115.jpg,21391,2013-05-28
......................................\....\t116.jpg,16572,2013-05-28
......................................\....\t117.jpg,22341,2013-05-28
......................................\....\t118.jpg,19833,2013-05-28
......................................\....\t119.jpg,14426,2013-05-28
......................................\....\t12.jpg,13574,2013-05-28
......................................\....\t120.jpg,14245,2013-05-28
......................................\....\t121.jpg,12965,2013-05-28
......................................\....\t122.jpg,14439,2013-05-28
......................................\....\t123.jpg,17494,2013-05-28
......................................\....\t124.jpg,14418,2013-05-28
......................................\....\t125.jpg,15509,2013-05-28
......................................\....\t126.jpg,17066,2013-05-28
......................................\....\t127.jpg,12730,2013-05-28
......................................\....\t128.jpg,14347,2013-05-28
......................................\....\t129.jpg,25080,2013-05-28
......................................\....\t13.jpg,14532,2013-05-28
......................................\....\t130.jpg,13804,2013-05-28
......................................\....\t131.jpg,19440,2013-05-28
......................................\....\t132.jpg,17738,2013-05-28
......................................\....\t133.jpg,14660,2013-05-28
......................................\....\t134.jpg,24682,2013-05-28
......................................\....\t135.jpg,18750,2013-05-28
......................................\....\t136.jpg,14156,2013-05-28
......................................\....\t137.jpg,19922,2013-05-28
......................................\....\t138.jpg,26706,2013-05-28
......................................\....\t139.jpg,20853,2013-05-28
......................................\....\t14.jpg,13269,2013-05-28
......................................\....\t140.jpg,12708,2013-05-28
......................................\....\t141.jpg,15365,2013-05-28
......................................\....\t142.jpg,11915,2013-05-28
......................................\....\t143.jpg,11764,2013-05-28
......................................\....\t144.jpg,14405,2013-05-28
......................................\....\t145.jpg,14589,2013-05-28
......................................\....\t146.jpg,18136,2013-05-28
......................................\....\t147.jpg,15907,2013-05-28
......................................\....\t148.jpg,22133,2013-05-28
......................................\....\t149.jpg,16301,2013-05-28
......................................\....\t15.jpg,13794,2013-05-28
......................................\....\t150.jpg,13206,2013-05-28
......................................\....\t151.jpg,15583,2013-05-28
......................................\....\t152.jpg,19244,2013-05-28
......................................\....\t153.jpg,7220,2013-05-28
......................................\....\t154.jpg,26041,2013-05-28
......................................\....\t155.jpg,22521,2013-05-28
......................................\....\t156.jpg,20194,2013-05-28
......................................\....\t157.jpg,11446,2013-05-28
......................................\....\t158.jpg,21737,2013-05-28
......................................\....\t159.jpg,17945,2013-05-28
......................................\....\t16.jpg,12323,2013-05-28
......................................\....\t160.jpg,8296,2013-05-28
......................................\....\t161.jpg,13763,2013-05-28
......................................\....\t162.jpg,20212,2013-05-28
......................................\....\t163.jpg,16330,2013-05-28
......................................\....\t164.jpg,25902,2013-05-28
......................................\....\t165.jpg,19500,2013-05-28
......................................\....\t166.jpg,16584,2013-05-28
......................................\....\t167.jpg,18556,2013-05-28
......................................\....\t168.jpg,20862,2013-05-28
......................................\....\t169.jpg,21355,2013-05-28
......................................\....\t17.jpg,12693,2013-05-28
......................................\....\t170.jpg,15747,2013-05-28
......................................\....\t171.jpg,22574,2013-05-28
......................................\....\t172.jpg,13657,2013-05-28
......................................\....\t173.jpg,18993,2013-05-28
......................................\....\t174.jpg,17551,2013-05-28
......................................\....\t175.jpg,18038,2013-05-28
......................................\....\t176.jpg,15322,2013-05-28
......................................\....\t177.jpg,20483,2013-05-28
......................................\....\t178.jpg,18546,2013-05-28
......................................\....\t179.jpg,11846,2013-05-28
......................................\....\t18.jpg,12793,2013-05-28

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

  • K-means代码
    说明:  KMEANS代码段,用于图像分割,已配置完成(KMEANS,use to achieve image segmentation)
    2019-05-30 10:16:59下载
    积分:1
  • LIME-master
    说明:  使用了色调映射算法,调整图片的灰度,更好表达原图里的信息与特征。(The hue mapping algorithm is used to adjust the gray level of the image and better express the information and features in the original image.)
    2020-06-21 16:20:01下载
    积分:1
  • gaborfilter5
    Gabor滤波器的实现函数,与一般网上下载的不同,滤波效果更好,易于提取图像特征(Gabor filter implementation function, and general downloading different, better filtering, easy to extract image features)
    2009-02-25 11:31:43下载
    积分:1
  • Hyperspectralterrain-classfic
    高光谱图像的地物分类技术,对光谱分析并对比检测出地景的算法(Fifth hyperspectral image classification techniques, algorithms for spectral analysis and contrast detect landscapes)
    2013-11-29 11:06:20下载
    积分:1
  • PSLR_ISLR
    计算峰值旁瓣比和积分旁瓣比的MATLAB程序(A MATLAB program for calculating the peak sidelobe ratio and the integral sidelobe ratio)
    2021-04-08 10:09:01下载
    积分:1
  • OV7670摄头实验
    7670 32F4程序 代码 适合STM32F4探索者(7670 32F4 program code suitable for STM32F4 Explorer)
    2021-02-07 18:39:55下载
    积分:1
  • 591236
    说明:  用matlab写的分水岭算法用于图像分割写的不是很好有需要的看看吧(using Matlab was a watershed for image segmentation algorithm was not very good in need and let's see it)
    2006-03-27 10:56:59下载
    积分:1
  • Cpp1
    说明:  基于opencv的小面积区域的去除.可以去除面积小于指定面积的无兴趣区域.(Opencv-based small area of the region to remove. Can remove an area of less than the specified area is not interested in the region.)
    2008-12-04 11:17:17下载
    积分:1
  • rat
    RAT power toy (KOL)
    2019-03-02 10:00:04下载
    积分:1
  • grabcut_matlab
    三种基于GraphCut的图像分割方法,分别是GrabCut,LazySnapping和改进的GrabCut,其中用到了matlab和VC++的混合编程,在调用之前需生成mex文件(Three kinds of image segmentation method based on GraphCut, respectively GrabCut, LazySnapping and improved GrabCut, which used the matlab and VC++ mixed programming, before calling the mex file to be generated)
    2020-11-26 00:09:31下载
    积分:1
  • 696518资源总数
  • 105142会员总数
  • 2今日下载