下載地址：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。下載地址：http://vision.cs.uiuc.edu/projects/activity/ ComputerVision中一些常用的影象資料庫 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姿勢識別資料庫: http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx 深度影象處理資料庫 http://www.mmk.ei.tum.de/layout.php?LangExt=&selectedMain=Verschiedenes&selectedSub=TUMGAIT2#downl 常用影象資料庫 1，http://www.multitel.be/cantata/ 這個網址提供了大量的視訊和影象的資料庫下載索引，並有相應的介紹，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：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於動作/行為識別的(在第1條網址中也可以找到它們的下載地址)，文章《視訊中行為識別公開資料庫彙總 》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 由模式識別國家重點實驗室提供的連結，資料量比較大，通常需要籤屬協議，以光碟形式拿到資料。可以下載的有虹膜庫資料、掌紋資料庫、步態資料庫、中文語言資源庫、筆跡資料庫、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，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，是關於智慧家居、老人看護類的日常生活行為 1. Weizmann 人體行為庫 此資料庫一共包括90段視訊，這些視訊分別是由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。而且該資料庫提供標註好的前景輪廓視訊。不過此資料庫的正確率已經達到100%了，現在發文章基本沒人用了呀。