登录
首页 » matlab » HaarPSRC=Vehicle-detection

HaarPSRC=Vehicle-detection

于 2013-07-31 发布 文件大小:11543KB
0 252
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

  • IPM
    自行编写的逆投影变换,可实现图像坐标系到世界坐标系的转换,从实现鸟瞰变换。(the IPM ,which is completed by me, is able to achieve the transformation between the image coordinates and world coordinates )
    2017-05-04 00:40:56下载
    积分:1
  • imageprocessing6
    1.选择一幅图像,对该图像进行DCT块操作(将图像分成8×8小块,对每个小块进行DCT变换)。 2.利用屏蔽矩阵对DCT系数进行区域选择,然后进行逆变换(IDCT),合成原图像,计算合成图像的PSNR。 3.选择一小波函数,对一幅图像进行分解,显示各变换系数,观察其规律,并进行小波逆变换,合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)
    2021-04-12 13:48:57下载
    积分:1
  • 用WPF写的转盘,分享给大家学习
    用WPF写一个简单的转盘
    2014-04-25下载
    积分:1
  • myidwt2
    用matlab编写多级非标准小波重构的函数 (prepared using Matlab multi-level non-standard wavelet function Reconstruction)
    2007-01-26 00:38:32下载
    积分:1
  • imag_improve_rgb1
    此算法用于对图片进行光照补偿,并对补偿前后的图片进行对比。(This algorithm is used for illumination compensation, and compensation before and after pictures comparing picture.)
    2012-09-13 19:59:06下载
    积分:1
  • FVC2004
    FVC2004指纹数据库下载,希望帮到有需要的朋友.(FVC2004 Fingerprint Database)
    2019-04-11 14:19:52下载
    积分:1
  • 去除的噪点
    图像去噪,去除图像的噪点 图像去噪,去除图像的噪点(Image Denoising)
    2011-09-25 19:47:35下载
    积分:1
  • PicTool
    C++Builder编写的图象处理程序(带示例)(C++ Builder prepared image processing procedures (with examples))
    2008-06-19 21:45:52下载
    积分:1
  • SAMP
    稀疏自适应匹配追踪算法,无需稀疏度,就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)
    2021-02-23 16:59:40下载
    积分:1
  • blind
    盲反卷积算法复原图像的代码,带注释,适合初学者学习(Blind image restoration code, with comments)
    2015-05-18 22:06:05下载
    积分:1
  • 696516资源总数
  • 106562会员总数
  • 4今日下载