視訊中行為識别公開資料庫一些常用的圖像資料庫

http://blog.sina.com.cn/s/blog_631a4cc40101138j.html

1. Weizmann 人體行為庫

此資料庫一共包括90段視訊，這些視訊分别是由9個人執行了10個不同的動作（bend, jack, jump, pjump, run, side, skip, walk, wave1,wave2）。視訊的背景，視角以及攝像頭都是靜止的。而且該資料庫提供标注好的前景輪廓視訊。不過此資料庫的正确率已經達到100%了，現在發文章基本沒人用了呀。下載下傳位址：http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html

2. KTH人體行為資料庫

該資料庫包括6類行為（walking, jogging, running, boxing, hand waving, hand clapping）,是由25個不同的人執行的，分别在四個場景下，一共有599段視訊。背景相對靜止，除了鏡頭的拉近拉遠，錄影機的運動比較輕微。這個資料庫是現在的benchmark，正确率需要達到95.5%以上才能夠發文章。下載下傳位址：http://www.nada.kth.se/cvap/actions/

3. INRIA XMAX多視角視訊庫

該資料庫從五個視角獲得，一共11個人執行14種行為。室内四個方向和頭頂一共安裝5個攝像頭。另外背景和光照基本不變。下載下傳位址：http://4drepository.inrialpes.fr/public/viewgroup/6

4. UCF Sports 資料庫

該視訊包括150段關于體育的視訊，一共有13個動作。實驗室采用留一交叉驗證法。2011年cvpr有幾篇都用這個資料庫，正确率要達到87%才能發文章。下載下傳位址：http://vision.eecs.ucf.edu/data.html

5. Hollywood 人體行為庫

該資料庫包括8類行為。這些都是電影中的片段。下載下傳位址：http://www.di.ens.fr/~laptev/actions/hollywood2/

6. Olympic sports dataset

該資料庫有16種行為，783段視訊。現在的正确率大約在75%左右。下載下傳位址：http://vision.stanford.edu/Datasets/OlympicSports/

7. UIUC action dataset

這個資料庫已經做到98%了，建議不要去做了。下載下傳位址：http://vision.cs.uiuc.edu/projects/activity/

8. TRECVID視訊庫

原文： http://blog.csdn.net/zdz8889/article/details/9207083

一些常用的圖像資料庫

常用圖像資料庫

1，http://www.multitel.be/cantata/

這個網址提供了大量的視訊和圖像的資料庫下載下傳索引，并有相應的介紹，強烈推薦！大家慢慢去找尋自己的驚喜吧

2，http://www.cvpapers.com/datasets.html

CVDatasets on the web ，主要好像是直立行人檢測....

3，http://www.cvc.uab.es/adas/site/?q=node/7

裡面又有好幾種資料庫可以下載下傳：CVC Virtual Pedestrian Dataset、CVC-01Pedestrian Dataset、CVC-02 PedestrianDataset

4，http://www.cis.upenn.edu/~jshi/ped_html/

Databasedescription：This is an image database containing images that are usedfor pedestrian detection in the experiments reported in[1]. The images are taken from scenes around campus and urban street. Theobjects we are interested in these images are pedestrians. Each image will haveat least one pedestrian in it.

Theheights of labeled pedestrians in this database fall into [180,390] pixels. Alllabeled pedestrians are straight up.

Thereare 170 images with 345 labeled pedestrians, among which 96 images are takenfrom around University of Pennsylvania, and other 74 are taken from aroundFudan University.

5，http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/

Caltech Pedestrian Detection Benchmark：The Caltech Pedestrian Dataset consists of approximately10 hours of 640x480 30Hz video taken from a vehicle driving through regulartraffic in an urban environment. About 250,000 frames (in 137 approximatelyminute long segments) with a total of 350,000 bounding boxes and 2300 uniquepedestrians were annotated. The annotation includes temporal correspondencebetween bounding boxes and detailed occlusion labels. More information can befound in our PAMI2011 and CVPR2009 benchmarking papers.

6，http://www.edgar-seemann.de/pd/datasets.py

PedestrianDetection

7，http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html#Database Weizmann 人體行為庫

http://www.nada.kth.se/cvap/actions/ KTH人體行為資料庫

http://4drepository.inrialpes.fr/public/viewgroup/6 INRIA XMAX多視角視訊庫

http://vision.eecs.ucf.edu/data.html UCF Sports 資料庫

http://www.di.ens.fr/~laptev/actions/hollywood2/ Hollywood 人體行為庫

http://vision.stanford.edu/Datasets/OlympicSports/ Olympic sports dataset

這幾個資料庫均是基于動作/行為識别的(在第1條網址中也可以找到它們的下載下傳位址)，文章《視訊中行為識别公開資料庫彙總

》對它們的評價比較中肯，可以參看：http://blog.sina.com.cn/s/blog_631a4cc40101138j.html

8，http://homepages.inf.ed.ac.uk/rbf/BEHAVE/

Computer-assistedprescreening of video streams for unusual activities

9，http://www.cc.gatech.edu/cpl/projects/monsoon/PropagationNet/PropagationNet.htm

Propagation Networks for Recognizing Partially OrderedSequential Activity. Goals：

Represent and fuse human knowledge of daily activities with noisy perceptual features

Detect and recognize an activity

Pinpoint components of the activity and detect missing or improperly performed steps

10，http://root.simpleinfo.net/1984DA173065/AreaDatum.aspx

由模式識别國家重點實驗室提供的連結，資料量比較大，通常需要簽屬協定，以CD光牒形式拿到資料。可以下載下傳的有虹膜庫資料、掌紋資料庫、步态資料庫、中文語言資源庫、筆迹資料庫、三維人臉資料庫、行為分析資料庫

11，http://www.datatang.com

這裡也提供一些資料庫下載下傳，種類比較多，但是需要付費，不是打廣告哦，呵呵，建議大家可以從它那裡的資料庫介紹中找些線索來進行google，然後你就有可能下載下傳到原始且免費的了哦

12，http://www.csse.uwa.edu.au/~pk/Research/MatlabFns/

MATLAB and Octave Functions for Computer Vision and Image Processing

13，http://mocap.cs.cmu.edu/

CMU Graphics Lab Motion Capture Database

14，http://www.cs.cmu.edu/~cil/v-images.html

Computer Vision Test Images

15，http://getalp.imag.fr/xwiki/bin/view/HISData/

http://www.springerlink.com/content/u57j444p0537p40t/

Health Smart Home (HIS) datasets 從文章作者那裡要來的連結

16，http://architecture.mit.edu/house_n/data/

與15的一樣，是關于智能家居、老人看護類的日常生活行為

1. Weizmann 人體行為庫

2. KTH人體行為資料庫

3. INRIA XMAX多視角視訊庫

4. UCF Sports 資料庫

5. Hollywood 人體行為庫

該資料庫包括8類行為。這些都是電影中的片段。下載下傳位址：http://www.di.ens.fr/~laptev/actions/hollywood2/

6. Olympic sports dataset

該資料庫有16種行為，783段視訊。現在的正确率大約在75%左右。下載下傳位址：http://vision.stanford.edu/Datasets/OlympicSports/

7. UIUC action dataset

這個資料庫已經做到98%了，建議不要去做了。下載下傳位址：http://vision.cs.uiuc.edu/projects/activity/

ComputerVision中一些常用的圖像資料庫

Database OverviewSurveys

http://emotion-research.net/wiki/Databases

AR Face Database (AR): http://rvl1.ecn.purdue.edu/~aleix/aleix_face_DB.html

BioID Face Database(BioID): http://www.humanscan.de/support/downloads/facedb.php

Brodatz Texture Database(Brodatz):

Butterfly Database(BDB): http://www-cvr.ai.uiuc.edu/ponce_grp/data

CMU Frontal FaceDatabase (CMUFF): http://vasc.ri.cmu.edu//idb/html/face/frontal_images/index.html

CMU PIE Database(CMUPIE): http://www.ri.cmu.edu/projects/project_418.html

CMU Profile FaceDatabase (CMUPF): http://vasc.ri.cmu.edu//idb/html/face/profile_images/index.html

Columbia-UtrechtReflectance and Texture Database(CUReT):

Corel Gallery Magic65000 (CGM):

CVL Database (CVL):http://www.lrv.fri.uni-lj.si/facedb.html

Data Becker 222222Premium Cliparts (DBPC):

M2VTS Multimodal FaceDatabase (): http://www.tele.ucl.ac.be/PROJECTS/M2VTS/m2fdb.html

MIT CBCL Car Database(MITC): http://cbcl.mit.edu/cbcl/software-datasets/CarData.html

MIT CBCL Face Database(MITF): http://cbcl.mit.edu/cbcl/software-datasets/FaceData2.html

MIT CBCL FaceRecognition Database (): http://cbcl.mit.edu/software-datasets/heisele/facerecognition-database.html

MIT CBCL PedestrianDatabase (MITP): http://cbcl.mit.edu/cbcl/software-datasets/PedestrianData.html

Object RecognitionDatabase (ORDB): http://www-cvr.ai.uiuc.edu/ponce_grp/data

ORL Database of Faces(ORL):http://www.uk.research.att.com/facedatabase.html

OUTex (OUTex):

PETS 2000 Dataset (PETS2000): ftp://ftp.pets.rdg.ac.uk/pub/PETS2000/

PETS 2001 Dataset(PETS2001): http://www.cvg.cs.rdg.ac.uk/PETS2001/pets2001-dataset.html

PETS 2002 Dataset(PETS2002): http://www.cvg.cs.rdg.ac.uk/PETS2002/pets2002-db.html

PETS 2005 Dataset(PETS2005): http://www.cvg.cs.rdg.ac.uk/PETS-ICVS/pets-icvs-db.html

PETS-ECCV 2004 Dataset(PETSECCV2004):

PETS-ICVS 2003 Dataset(PETSICVS2003):

PETS彙總http://www.hitech-projects.com/euprojects/cantata/datasets_cantata/dataset.html

PhoTex (PhoTex):

Pilot European ImageProcessing Archive (PEIPA): http://peipa.essex.ac.uk/

Talking Face Video ():

Texture Database (TDB): http://www-cvr.ai.uiuc.edu/ponce_grp/data

Texture Database for theMeasurement of Textureclassification algorithms (MeasTex):

The Color FERET Database(): http://www.itl.nist.gov/iad/humanid/colorferet/home.html

The Extended M2VTSDatabase (XM2VTSDB ): http://www.ee.surrey.ac.uk/Research/VSSP/xm2vtsdb/

The FERET Database (): http://www.itl.nist.gov/iad/humanid/feret/

The Japanese FemaleFacial Expression (JAFFE)Database (JAFFE): http://www.mis.atr.co.jp/~mlyons/jaffe.html

The M2VTS Database (M2VTS):http://www.tele.ucl.ac.be/PROJECTS/M2VTS/m2fdb.html

The Psychological ImageCollection at Stirling(PICS): http://pics.psych.stir.ac.uk/cgi-bin/PICS/New/pics.cgi

The UMIST Face Database(UMIST): http://images.ee.umist.ac.uk/danny/database.html

The University of OuluPhysics-Based FaceDatabase (UOFD):http://www.ee.oulu.fi/research/imag/color/pbfd.html

The Yale Face Database(YFD): http://cvc.yale.edu/projects/yalefaces/yalefaces.html

The Yale Face Database B(YFDB): http://cvc.yale.edu/projects/yalefacesB/yalefacesB.html

Vision Texture Database(VisTex):

VS-PETS 2003 Dataset(VSPETS2003):

微軟劍橋研究院kinect姿勢識别資料庫:

http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx

深度圖像處理資料庫

http://www.mmk.ei.tum.de/layout.php?LangExt=&selectedMain=Verschiedenes&selectedSub=TUMGAIT2#downl