運動目標檢測、陰影檢測及目標跟蹤中用得到的標準測試視頻下載

在搜測試視頻時，找到andrew31在ilovematlab論壇中分享的網址連結。我轉載於此，並做出詳細介紹，方便大家以後使用！

1. PETS2001的測試視頻
http://www.filewatcher.com/b/ftp/ftp.cs.rdg.ac.uk/pub/PETS2001.0.0.html
內容如下，可以得到如下所示5個DATASET，有訓練和測試視頻：

ftp://ftp.cs.rdg.ac.uk/pub/PETS2001/  direct 532 B  2001-07-25welcome.msg  5 mirrors 6 B  2006-10-24WWW  2 mirrors 532 B  2001-07-25PETS2001_README  2 mirrors 0  2001-12-11DoNotDownLoadThisFile  2 mirrors [DIR]DATASET5/  direct  2 twin directories [DIR]DATASET4/  direct  2 twin directories [DIR]DATASET3/  direct  6 twin directories [DIR]DATASET2/  direct  6 twin directories [DIR]DATASET1/  direct  6 twin directories 0  2001-06-23.chunkdesc  2 mirrors 0  2001-06-23.bufferloc  2 mirrors

 

2. 陰影檢測（Shadow Detection）測試視頻及CVPR-ATON 陰影檢測相關論文
http://cvrr.ucsd.edu/aton/shadow/

在下面原始movie可以下載到：Highway、Campus、Laboratory、Intelligent Room，這些視頻。

Technical Papers A. Prati, I. Mikic, M. Trivedi, R. Cucchiara, "Detecting Moving Shadows: Formulation, Algorithms and Evaluation" (Under Review June 2001) - Survey I. Mikic, P. Cosman, G.. Kogut, M. Trivedi, "Moving Shadow and Object Detection in Traffic Scenes", International Conference on Pattern Recognition, September 2000, pp. 321-324 vol. 1 R. Cucchiara, C. Grana, M. Piccardi, A. Prati, "Detecting objects, shadows and ghosts in video streams by exploiting color and motion information", Appearing in Proceedings of 11th International Conference on Image Analysis and Processing (ICIAP 2001), September 2001. M. Trivedi, I. Mikic, G. Kogut, "Distributed Video Networks for Incident Detection and Management", IEEE Conference on Intelligent Transportation Systems, Dearborn, Michigan, October 2000. Testbed Data Comparative Movies (Highway I, Intelligent Room - AVIs) Raw Movies (Highway I, Highway II, Campus, Laboratory, Intelligent Room - AVIs) Manually Segmented Images (Ground Truth - Zipped BMPs)

3. IBM人類視覺研究中心監視系統效能評價提供的視頻
http://www.research.ibm.com/peoplevision/performanceevaluation.html
這個你看了一定欣喜若狂，一大票的視頻，任你選擇，不用再發愁找不到視頻了！

Performance Evaluation of Surveillance Systems Effectively evaluating the performance of moving object detection and tracking algorithms is in an important step towards attaining robust digital video surveillance systems with sufficient accuracy for practical applications. As systems become more complex and achieve greater robustness, the ability to quantitatively assess performance is needed in order to continuously improve performance. To this end, we are providing video sequences and ground truth annotations for performance evaluation. Ground Truth sequences have extension .pvann and are xml files. An explanation of the ground truth procedure can be found in the paper [1] . Performance metrics and an evaluation of the IBM Smart Surveillance System can also be found in this publication. 1. Outdoor Sequences ( 4 videos from PET2001 with ground truth )     PetsD1TeC1.avi     PetsD1TeC1.pvann    PetsD1TeC2.avi     PetsD1TeC2.pvann    PetsD2TeC1.avi     PetsD2TeC1.pvann    PetsD2TeC2.avi     PetsD2TeC2.pvann 2. Indoor Sequences  (11 videoswith ground truth) IndoorGTTest1.avi     IndoorGTTest1.pvann     IndoorGTTest2.avi     IndoorGTTest2.pvann     ThreePerson_Circles_Comp_0_Quad0.avi     ThreePerson_Circles_Comp_0_Quad0.pvann     ThreePerson_Circles_Comp_0_Quad2.avi     ThreePerson_Circles_Comp_0_Quad2.pvann     ThreePerson_Circles_Comp_0_Quad3.avi     ThreePerson_Circles_Comp_0_Quad3.pvann     ThreePerson_Together_Split_Comp_0_Quad0.avi     ThreePerson_Together_Split_Comp_0_Quad0.pvann     ThreePerson_Together_Split_Comp_0_Quad2.avi     ThreePerson_Together_Split_Comp_0_Quad2.pvann     ThreePerson_Together_Split_Comp_0_Quad3.avi     ThreePerson_Together_Split_Comp_0_Quad3.pvann     TwoPerson_Line_Circle_Comp_0_Quad0.avi     TwoPerson_Line_Circle_Comp_0_Quad0.pvann     TwoPerson_Line_Circle_Comp_0_Quad2.avi     TwoPerson_Line_Circle_Comp_0_Quad2.pvann     TwoPerson_Line_Circle_Comp_0_Quad3.avi     TwoPerson_Line_Circle_Comp_0_Quad3.pvann [1] Performance Evaluation of Surveillance Systems Under Varying Conditions Lisa M. Brown, Andrew W. Senior, Ying-li Tian, Jonathan Connell, Arun Hampapur, Chiao-fe Shu, Hans Merkl, and Max Lu IEEE Int'l Workshop on Performance Evaluation of Tracking and Surveillance, Colorado Jan., 2005 .  PDF Other Research Areas: Robust Background Subtraction Salient Motion Detection Object Classification 2D Tracking 3D Multi-Person Tracking Articulated Human Body Tracking Active Head Tracking Coarse Head Pose Estimation Position Independent Absolute Head Pose Estimation Face Cataloger Video Privacy Multi-scale Tracking & Index Browser Real Time Alerts Middleware for Large Scale Surveillance (MILS)