登录
首页 » Python » AbnormalBehaviorDetection-master

AbnormalBehaviorDetection-master

于 2019-04-23 发布
0 288
下载积分: 1 下载次数: 17
我要下载

代码说明：

说明：  基于光流特征的监控视频异常行为检测 使用CNN，RNN在UCSD数据库中实现 使用Keras，python3.6(Abnormal Behavior Detection of Monitoring Video Based on Optical Flow Characteristics)

文件列表：

AbnormalBehaviorDetection-master, 0 , 2017-06-14
AbnormalBehaviorDetection-master\README.md, 196 , 2017-06-14
AbnormalBehaviorDetection-master\bak, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.1, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.1\__pycache__, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.1\__pycache__\cnn_abd.cpython-36.pyc, 1662 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.1\__pycache__\prepdata.cpython-36.pyc, 4685 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.1\cnn_abd.py, 1540 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.1\exec.py, 1227 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.1\prepdata.py, 5471 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\__pycache__, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\__pycache__\abd_model_ini.cpython-36.pyc, 1933 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\__pycache__\prepdata.cpython-36.pyc, 4200 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\abd_model_ini.py, 1789 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\bicnn_eval.py, 461 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\bicnn_train.py, 1515 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\prepdata.py, 4401 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2.1\try.py, 558 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\__pycache__, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\__pycache__\abd_model_ini.cpython-36.pyc, 1933 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\__pycache__\prepdata.cpython-36.pyc, 4200 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\abd_model_ini.py, 1789 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\bicnn_eval.py, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\bicnn_train.py, 1270 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\prepdata.py, 4401 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.2\try.py, 558 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\__pycache__, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\__pycache__\abd_model_ini.cpython-36.pyc, 2468 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\__pycache__\prepdata.cpython-36.pyc, 6144 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\abd_model_ini.py, 2405 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\bicnn_train.py, 1984 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\bilrnn_train.py, 2918 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\eval.py, 823 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\prepdata.py, 6636 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3.1_rnndone\try.py, 137 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\__pycache__, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\__pycache__\abd_model_ini.cpython-36.pyc, 1933 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\__pycache__\prepdata.cpython-36.pyc, 4200 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\abd_model_ini.py, 2398 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\bicnn_train.py, 1984 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\bilrnn_train.py, 2358 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\eval.py, 823 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\prepdata.py, 6636 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0.3_rnn_cnn%2B\try.py, 137 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0\__pycache__, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0\__pycache__\cnn_abd.cpython-36.pyc, 122 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0\__pycache__\prepdata.cpython-36.pyc, 3704 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0\cnn_abd.py, 0 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0\exec.py, 969 , 2017-06-14
AbnormalBehaviorDetection-master\bak\src0\prepdata.py, 4236 , 2017-06-14
AbnormalBehaviorDetection-master\demosrc, 0 , 2017-06-14
AbnormalBehaviorDetection-master\demosrc\lstm_text_generation.py, 3350 , 2017-06-14
AbnormalBehaviorDetection-master\demosrc\rnn_lstm.py, 5064 , 2017-06-14
AbnormalBehaviorDetection-master\doc, 0 , 2017-06-14
AbnormalBehaviorDetection-master\doc\arrary_decl.txt, 467 , 2017-06-14
AbnormalBehaviorDetection-master\doc\bicnn_struct.txt, 409 , 2017-06-14
AbnormalBehaviorDetection-master\doc\process.txt, 390 , 2017-06-14
AbnormalBehaviorDetection-master\doc\project_struct.txt, 380 , 2017-06-14
AbnormalBehaviorDetection-master\image, 0 , 2017-06-14
AbnormalBehaviorDetection-master\image\avg_picture.png, 27479 , 2017-06-14
AbnormalBehaviorDetection-master\image\resize.png, 26869 , 2017-06-14
AbnormalBehaviorDetection-master\image\subavg_picture1.png, 24934 , 2017-06-14
AbnormalBehaviorDetection-master\image\subavg_picture2.png, 26832 , 2017-06-14
AbnormalBehaviorDetection-master\script, 0 , 2017-06-14
AbnormalBehaviorDetection-master\script\gen_tag.cmd, 109 , 2017-06-14
AbnormalBehaviorDetection-master\src, 0 , 2017-06-14
AbnormalBehaviorDetection-master\src\__pycache__, 0 , 2017-06-14
AbnormalBehaviorDetection-master\src\__pycache__\abd_model_ini.cpython-36.pyc, 2667 , 2017-06-14
AbnormalBehaviorDetection-master\src\__pycache__\prepdata.cpython-36.pyc, 6144 , 2017-06-14
AbnormalBehaviorDetection-master\src\abd_model_ini.py, 2778 , 2017-06-14
AbnormalBehaviorDetection-master\src\bicnn_train.py, 2060 , 2017-06-14
AbnormalBehaviorDetection-master\src\bilrnn_train.py, 3428 , 2017-06-14
AbnormalBehaviorDetection-master\src\eval.py, 2190 , 2017-06-14
AbnormalBehaviorDetection-master\src\prepdata.py, 6636 , 2017-06-14
AbnormalBehaviorDetection-master\src\try.py, 185 , 2017-06-14

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

  • lim
    功率谱估计程序，选用一电力系统谐波信号为输入。其中包括有：burge算法，esprit算法，music算法，mvdr算法，pisarenko算法，prony算法，修正协方差算法，自相关算法。这些程序均为本人自编，并且对程序所参考书籍和页数进行了标注。经过调试，绝对正确，请放心使用。(Power spectrum estimation procedure, selection of one power system harmonics signal as input. Including: burge algorithm, esprit algorithm, music algorithm, mvdr algorithm, pisarenko algorithm, prony algorithm, as amended covariance algorithm, since the correlation algorithm. I own both of these procedures, and procedures of reference books and the number of pages have been marked. After debugging, absolutely correct, please rest assured that use.)
    2008-08-15 20:54:45下载
    积分：1
  • Nakagami_m_simulator
    For simulation of nakagami-m
    2021-03-25 16:49:14下载
    积分：1
  • [计算机程序的构造和解释].(中文版）.清晰版.pdf
    关于lisp和计算机的程序的理解,相当有价值的一本书 适合初学者。有一定经验者可适当观看(about scheme the dialect of lisp)
    2018-09-24 10:07:38下载
    积分：1
  • st
    说明：  实现S变换用于频散反演，解决含油气储层预测问题。(The S-transform is implemented for dispersion inversion to solve the problem of prediction of hydrocarbon reservoirs.)
    2018-05-17 10:18:56下载
    积分：1
  • 自抗扰控制器
    此为韩京清老师的自抗扰仿真程序，含有eso.m、td.m、nlsef.m三个文件(AN AUTOMATIC DISTURBANCE REJECTION SIMULATION PROGRAM FOR TEACHER HAN Jingqing)
    2019-01-14 19:09:42下载
    积分：1
  • ef807
    时间序列数据分析中的梅林变换工具，包含特征值与特征向量的提取、训练样本以及最后的识别，基于matlab GUI界面设计。( Time series data analysis Mellin transform tool, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Based on matlab GUI interface design.)
    2017-05-07 17:40:32下载
    积分：1
  • optimum_array_processing
    最优阵列信号处理一书中的源代码，对于学习阵列信号处理的人来说，是很不错的资料(Optimal array signal processing, a book' s source code, array signal processing for the study of people, it is very good information)
    2009-02-28 13:54:21下载
    积分：1
  • kalman
    标准线性卡尔曼滤波程序，没加蒙特卡罗实验，可参考《雷达数据处理》一书(linear Kalman filtering)
    2019-01-13 15:36:59下载
    积分：1
  • 开灯和关灯游戏PA
    第一行输入灯泡个数，第二行输入灯泡状态。(The first line inputs the number of bulbs, and the second line inputs the bulb status.)
    2020-06-24 19:20:02下载
    积分：1
  • mpc_function
    3个关于预测控制的matlab函数，还有一个简单演示mpc原理的小程序(About three prediction matlab control function, have a simple principle mpc demo applet)
    2020-11-12 02:09:44下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！