登录
首页 » matlab » Social-force-model

Social-force-model

于 2021-03-14 发布 文件大小:26330KB
0 323
下载积分: 1 下载次数: 164

代码说明:

  社会力模型,基于社会力的行人流模型,包括行人间作用力,行人与墙体等障碍物的作用力等。(Social force model)

文件列表:

社会力模型
..........\code
..........\....\.gitignore,14,2012-05-31
..........\....\addAgentRepulsiveForce.m,4419,2012-05-31
..........\....\addDesiredForce.m,781,2012-05-31
..........\....\addWallForce.m,1169,2012-05-31
..........\....\applyForcesAndMove.m,3237,2012-05-31
..........\....\checkForIntersection.m,1059,2012-05-31
..........\....\compileC.m,107,2012-05-31
..........\....\createRangeTree.c,806,2012-05-31
..........\....\createRangeTree.mexw64,9728,2016-12-18
..........\....\eps2avi.sh,765,2012-05-31
..........\....\fastSweeping.c,7623,2012-05-31
..........\....\fastSweeping.mexw64,17408,2016-12-18
..........\....\frames
..........\....\......\.gitignore,26,2012-05-31
..........\....\......\config1_frame_0000.eps,111500,2016-12-18
..........\....\......\config1_frame_0001.eps,111396,2016-12-18
..........\....\......\config1_frame_0002.eps,111452,2016-12-18
..........\....\......\config1_frame_0003.eps,111435,2016-12-18
..........\....\......\config1_frame_0004.eps,111459,2016-12-18
..........\....\......\config1_frame_0005.eps,111408,2016-12-18
..........\....\......\config1_frame_0006.eps,111448,2016-12-18
..........\....\......\config1_frame_0007.eps,111481,2016-12-18
..........\....\......\config1_frame_0008.eps,111491,2016-12-18
..........\....\......\config1_frame_0009.eps,111409,2016-12-18
..........\....\......\config1_frame_0010.eps,111471,2016-12-18
..........\....\......\config1_frame_0011.eps,111458,2016-12-18
..........\....\......\config1_frame_0012.eps,111442,2016-12-18
..........\....\......\config1_frame_0013.eps,111469,2016-12-18
..........\....\......\config1_frame_0014.eps,111491,2016-12-18
..........\....\......\config1_frame_0015.eps,111461,2016-12-18
..........\....\......\config1_frame_0016.eps,111490,2016-12-18
..........\....\......\config1_frame_0017.eps,111486,2016-12-18
..........\....\......\config1_frame_0018.eps,111552,2016-12-17
..........\....\......\config1_frame_0019.eps,111577,2016-12-17
..........\....\......\config1_frame_0020.eps,111516,2016-12-17
..........\....\......\config1_frame_0021.eps,111535,2016-12-17
..........\....\......\config1_frame_0022.eps,111533,2016-12-17
..........\....\......\config1_frame_0023.eps,111535,2016-12-17
..........\....\......\config1_frame_0024.eps,111560,2016-12-17
..........\....\......\config1_frame_0025.eps,111589,2016-12-17
..........\....\......\config1_frame_0026.eps,111548,2016-12-17
..........\....\......\config1_frame_0027.eps,111539,2016-12-17
..........\....\......\config1_frame_0028.eps,111592,2016-12-17
..........\....\......\config1_frame_0029.eps,111552,2016-12-17
..........\....\......\config1_frame_0030.eps,111564,2016-12-17
..........\....\......\config1_frame_0031.eps,111554,2016-12-17
..........\....\......\config1_frame_0032.eps,111592,2016-12-17
..........\....\......\config1_frame_0033.eps,111578,2016-12-17
..........\....\......\config1_frame_0034.eps,111585,2016-12-17
..........\....\......\config1_frame_0035.eps,111597,2016-12-17
..........\....\......\config1_frame_0036.eps,111560,2016-12-17
..........\....\......\config1_frame_0037.eps,111597,2016-12-17
..........\....\......\config1_frame_0038.eps,111593,2016-12-17
..........\....\......\config1_frame_0039.eps,111593,2016-12-17
..........\....\......\config1_frame_0040.eps,111582,2016-12-17
..........\....\......\config1_frame_0041.eps,111552,2016-12-17
..........\....\......\config1_frame_0042.eps,111590,2016-12-17
..........\....\......\config1_frame_0043.eps,111548,2016-12-17
..........\....\......\config1_frame_0044.eps,111581,2016-12-17
..........\....\......\config1_frame_0045.eps,111600,2016-12-17
..........\....\......\config1_frame_0046.eps,111635,2016-12-17
..........\....\......\config1_frame_0047.eps,111589,2016-12-17
..........\....\......\config1_frame_0048.eps,111599,2016-12-17
..........\....\......\config1_frame_0049.eps,111607,2016-12-17
..........\....\......\config1_frame_0050.eps,111657,2016-12-17
..........\....\......\config1_frame_0051.eps,111635,2016-12-17
..........\....\......\config1_frame_0052.eps,111625,2016-12-17
..........\....\......\config1_frame_0053.eps,111645,2016-12-17
..........\....\......\config1_frame_0054.eps,111642,2016-12-17
..........\....\......\config1_frame_0055.eps,111603,2016-12-17
..........\....\......\config1_frame_0056.eps,111633,2016-12-17
..........\....\......\config1_frame_0057.eps,111596,2016-12-17
..........\....\......\config1_frame_0058.eps,111608,2016-12-17
..........\....\......\config1_frame_0059.eps,111615,2016-12-17
..........\....\......\config1_frame_0060.eps,111640,2016-12-17
..........\....\......\config1_frame_0061.eps,111607,2016-12-17
..........\....\......\config1_frame_0062.eps,111584,2016-12-17
..........\....\......\config1_frame_0063.eps,111626,2016-12-17
..........\....\......\config1_frame_0064.eps,111626,2016-12-17
..........\....\......\config1_frame_0065.eps,111643,2016-12-17
..........\....\......\config1_frame_0066.eps,111606,2016-12-17
..........\....\......\config1_frame_0067.eps,111647,2016-12-17
..........\....\......\config1_frame_0068.eps,111569,2016-12-17
..........\....\......\config1_frame_0069.eps,111667,2016-12-17
..........\....\......\config1_frame_0070.eps,111647,2016-12-17
..........\....\......\config1_frame_0071.eps,111623,2016-12-17
..........\....\......\config1_frame_0072.eps,111632,2016-12-17
..........\....\......\config1_frame_0073.eps,111612,2016-12-17
..........\....\......\config1_frame_0074.eps,111645,2016-12-17
..........\....\......\config1_frame_0075.eps,111585,2016-12-17
..........\....\......\config1_frame_0076.eps,111623,2016-12-17
..........\....\......\config1_frame_0077.eps,111597,2016-12-17
..........\....\......\config1_frame_0078.eps,111600,2016-12-17
..........\....\......\config1_frame_0079.eps,111611,2016-12-17
..........\....\......\config1_frame_0080.eps,111652,2016-12-17
..........\....\......\config1_frame_0081.eps,111613,2016-12-17
..........\....\......\config1_frame_0082.eps,111657,2016-12-17
..........\....\......\config1_frame_0083.eps,111634,2016-12-17

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

  • 1
    基于opencv的图像灰度化,将24位彩色图像重新量化为8位灰度图像(gray image)
    2013-12-12 21:56:49下载
    积分:1
  • downSample
    实现图像下采样,实现的采样方法有最邻近采样法、二次插值法、双三次卷积法。(Image sampling, the sampling method to achieve the nearest neighbor sampling method, the quadratic interpolation, bicubic convolution.)
    2012-06-21 15:32:59下载
    积分:1
  • Research-of-FCM---based-on--swarm
    本文是基于最新的模糊C均值彩色图像分割方法改进得来的新算法(This article is based on the fuzzy c-means clustering color image segmentation method of the latest paper)
    2013-05-03 08:55:27下载
    积分:1
  • CorreMatch
    图像的简单匹配程序,在左影像上点一点,然后使用相关系数法在右影像上进行全局遍历,找到相关系数最大的点,设为匹配的目标点。(Simple image matching program, the image on the left point a little, and then use the correlation coefficient on the right image globally traversal, find the maximum point of the correlation coefficient, to match the target point.)
    2021-03-05 12:19:31下载
    积分:1
  • 3
    说明:  维纳滤波 最小二乘方 Lucy richardson图像复原 盲去卷积复原 图像复原法的综合比较(Wiener filtering least squares Lucy richardson image restoration blind deconvolution image restoration method to recover a comprehensive comparison)
    2013-11-27 21:55:50下载
    积分:1
  • 捷宇 高拍仪 demo SDK
    捷宇 高拍仪 demo SDK
    2019-09-02下载
    积分:1
  • P_M_Modle
    P_M正则化图像滤波的一个实验例子,包含程序和实验结果还有实验报告(Tikhonov P_M image filtering example of an experiment, including the procedures and experimental results are experimental report)
    2009-02-06 10:09:47下载
    积分:1
  • 131839110248366
    说明:  基于surf算法的复制移动检测,此方法适合图像伪造研究者初级实验(Replication mobile detection based on surf algorithm)
    2019-05-27 09:09:24下载
    积分:1
  • CWIMATIFUS
    本程序包是基于多分辨率分析的图像融合算法,其中包括基于区域的融合算法。对应程序有相关的文章,是学习图像融合最有用的资料。(This package is based on the analysis of multi-resolution image fusion algorithms, including region-based fusion algorithm. Procedures related to the corresponding articles, image fusion is to study the most useful information.)
    2009-05-14 21:57:55下载
    积分:1
  • histeq
    主成分分析算法(PCA),可用于降维,也可用于处理图像相关性问题,提取主成分,分析图像细节信息和主要成分,用于图像压缩也可以(Principal component analysis algorithm (PCA), can be used for dimensionality reduction, can also be used to process images related issues, extracted principal component analysis and main component of image detail information, to be used for image compression)
    2015-04-15 21:40:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载