Anomaly-Detection-master (1)
所属分类：图形图像处理
开发工具：Python
文件大小：33000KB
下载次数：11
上传日期：2017-11-29 16:19:18
上 传 者：
吉吉桑
说明： 读取视频，然后进行程序分析，对视频异常的部分进行识别，最后将异常结果输出
(Read the video, then carry on the program analysis, identify the part of the video exception, and then output the abnormal result.)
文件列表:
Covariances (0, 2017-01-30)
Covariances\cov_new_descriptorTrain001 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain002 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain003 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain004 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain005 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain006 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain007 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain008 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain009 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain010 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain011 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain012 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain013 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain014 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain015 (2304, 2017-01-30)
Covariances\cov_new_descriptorTrain016 (2304, 2017-01-30)
GlobalAnomalies (0, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest001 (1738420, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest002 (2175788, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest003 (2808358, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest004 (3333188, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest005 (2083246, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest006 (3453406, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest007 (2726778, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest008 (1500662, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest009 (1285734, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest010 (2352034, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest011 (1900238, 2017-01-30)
GlobalAnomalies\n_anomalousFileTest012 (2523400, 2017-01-30)
GlobalFeatureExtraction.py (8105, 2017-01-30)
GlobalTesting.py (3716, 2017-01-30)
ImageComparisonTest (0, 2017-01-30)
ImageComparisonTest\compareTest.py (1087, 2017-01-30)
ImageComparisonTest\image1.jpg (3613, 2017-01-30)
ImageComparisonTest\image2.jpg (4606, 2017-01-30)
ImageComparisonTest\image3.jpg (1667, 2017-01-30)
ImageComparisonTest\image4.jpg (118883, 2017-01-30)
LocalFeatureExtraction.py (5246, 2017-01-30)
... ...
Dynamic anomaly detection and localization system for detecting abnormal events in crowded scene videos. This is an unsupervised model designed for the [UCSD Pedetrian Dataset 2](http://www.svcl.ucsd.edu/projects/anomaly/dataset.html). The model is scene independent and can be easily extended to work on other video datasets. There is no need to explicitly define an anomaly. The training dataset consists of normal videos while the test set consists of normal and anomalous frames.
The work is presently under review at the Multimedia Tools and Applications Journal. The codebase will be updated to a working version once the review is complete.
For questions, please contact: medhini95@gmail.com
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