常用圖像數(shù)據(jù)庫(kù)

1，http://www.multitel.be/cantata/
這個(gè)網(wǎng)址提供了大量的視頻和圖像的數(shù)據(jù)庫(kù)下載索引，并有相應(yīng)的介紹，強(qiáng)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(cè)....
3，http://www.cvc.uab.es/adas/site/?q=node/7
里面又有好幾種數(shù)據(jù)庫(kù)可以下載：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.There are 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 correspondence between?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
Pedestrian Detection 7，http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html#Database
Weizmann 人體行為庫(kù)
http://www.nada.kth.se/cvap/actions/ KTH人體行為數(shù)據(jù)庫(kù)
http://4drepository.inrialpes.fr/public/viewgroup/6?INRIA XMAX多視角視頻庫(kù)
http://vision.eecs.ucf.edu/data.html UCF Sports 數(shù)據(jù)庫(kù)
http://www.di.ens.fr/~laptev/actions/hollywood2/ Hollywood 人體行為庫(kù)
http://vision.stanford.edu/Datasets/OlympicSports/ Olympic sports dataset
這幾個(gè)數(shù)據(jù)庫(kù)均是基于動(dòng)作/行為識(shí)別的(在第1條網(wǎng)址中也可以找到它們的下載地址)，文章《視頻中行為識(shí)別公開(kāi)數(shù)據(jù)庫(kù)匯總》對(duì)它們的評(píng)價(jià)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(shí)別國(guó)家重點(diǎn)實(shí)驗(yàn)室提供的鏈接，數(shù)據(jù)量比較大，通常需要簽屬協(xié)議，以光盤(pán)形式拿到數(shù)據(jù)。可以下載的有虹膜庫(kù)數(shù)據(jù)、掌紋數(shù)據(jù)庫(kù)、步態(tài)數(shù)據(jù)庫(kù)、中文語(yǔ)言資源庫(kù)、筆跡數(shù)據(jù)庫(kù)、三維人臉數(shù)據(jù)庫(kù)、行為分析數(shù)據(jù)庫(kù) 11，http://www.datatang.com
這里也提供一些數(shù)據(jù)庫(kù)下載，種類比較多，但是需要付費(fèi)，不是打廣告哦，呵呵，建議大家可以從它那里的數(shù)據(jù)庫(kù)介紹中找些線索來(lái)進(jìn)行g(shù)oogle，然后你就有可能下載到原始且免費(fèi)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 從文章作者那里要來(lái)的鏈接 16，http://architecture.mit.edu/house_n/data/
與15的一樣，是關(guān)于智能家居、老人看護(hù)類的日常生活行為 1. Weizmann 人體行為庫(kù)
此數(shù)據(jù)庫(kù)一共包括90段視頻，這些視頻分別是由9個(gè)人執(zhí)行了10個(gè)不同的動(dòng)作（bend,?jack, jump, pjump, run, side, skip, walk, wave1,wave2）。視頻的背景，視角以及攝像頭都是靜止的。而且該數(shù)據(jù)庫(kù)提供標(biāo)注好的前景輪廓視頻。不過(guò)此數(shù)據(jù)庫(kù)的正確率已經(jīng)達(dá)到100%了，現(xiàn)在發(fā)文章基本沒(méi)人用了呀。下載地址：http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html 2. KTH人體行為數(shù)據(jù)庫(kù)
該數(shù)據(jù)庫(kù)包括6類行為（walking, jogging, running, boxing, hand waving, hand clapping）,是由25個(gè)不同的人執(zhí)行的，分別在四個(gè)場(chǎng)景下，一共有599段視頻。背景相對(duì)靜止，除了鏡頭的拉近拉遠(yuǎn)，攝像機(jī)的運(yùn)動(dòng)比較輕微。這個(gè)數(shù)據(jù)庫(kù)是現(xiàn)在的benchmark，正確率需要達(dá)到95.5%以上才能夠發(fā)文章。下載地址：http://www.nada.kth.se/cvap/actions/ 3. INRIA XMAX多視角視頻庫(kù)
該數(shù)據(jù)庫(kù)從五個(gè)視角獲得，一共11個(gè)人執(zhí)行14種行為。室內(nèi)四個(gè)方向和頭頂一共安裝5個(gè)攝像頭。另外背景和光照基本不變。下載地址：http://4drepository.inrialpes.fr/public/viewgroup/6 4. UCF Sports 數(shù)據(jù)庫(kù)
該視頻包括150段關(guān)于體育的視頻，一共有13個(gè)動(dòng)作。實(shí)驗(yàn)室采用留一交叉驗(yàn)證法。2011年cvpr有幾篇都用這個(gè)數(shù)據(jù)庫(kù)，正確率要達(dá)到87%才能發(fā)文章。下載地址：http://vision.eecs.ucf.edu/data.html 5. Hollywood 人體行為庫(kù)
該數(shù)據(jù)庫(kù)包括8類行為。這些都是電影中的片段。 下載地址：http://www.di.ens.fr/~laptev/actions/hollywood2/ 6. Olympic sports dataset
該數(shù)據(jù)庫(kù)有16種行為，783段視頻。現(xiàn)在的正確率大約在75%左右。 下載地址：http://vision.stanford.edu/Datasets/OlympicSports/ 7. UIUC action dataset
這個(gè)數(shù)據(jù)庫(kù)已經(jīng)做到98%了，建議不要去做了。下載地址：http://vision.cs.uiuc.edu/projects/activity/ ComputerVision中一些常用的圖像數(shù)據(jù)庫(kù) 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匯總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(shì)識(shí)別數(shù)據(jù)庫(kù):
http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx 深度圖像處理數(shù)據(jù)庫(kù)
http://www.mmk.ei.tum.de/layout.php?LangExt=&selectedMain=Verschiedenes&selectedSub=TUMGAIT2#downl 轉(zhuǎn)自：http://blog.csdn.net/jywowaa/article/details/50502798 附：http://www.open-open.com/lib/view/open1453213718870.html http://www.360doc.com/content/14/0226/18/15226177_355922001.shtml

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