一些常用的圖像數據庫

1， http://www.multitel.be/cantata/
這個網址提供了大量的視頻和圖像的數據庫下載索引，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
里面又有好幾種數據庫可以下載：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.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
http://www.nada.kth.se/cvap/actions/

KTH人體行為數據庫
http://4drepository.inrialpes.fr/public/viewgroup/6 INRIA XMAX多視角視頻庫
http://vision.eecs.ucf.edu/data. html

UCF Sports 數據庫
http://www.di.ens.fr/~laptev/actions/hollywood2 /

Hollywood 人體行為庫
http://vision.stanford.edu/Datasets/OlympicSports/

Olympic sports dataset
這幾個數據庫均是基於動作/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《視頻中行為識別公開數據庫匯總》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鏈接，數據量比較大，通常需要簽屬協議，以光盤形式拿到數據。可以下載的有虹膜庫數據、掌紋數據庫、步態數據庫、中文語言資源庫、筆跡數據庫、三維人臉數據庫、行為分析數據庫

11， http://www.datatang.com
這里也提供一些數據庫下載，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里的數據庫介紹中找些線索來進行google，然后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 從文章作者那里要來的鏈接

16，http://architecture.mit.edu/house_n/data/
與15的一樣，是關於智能家居、老人看護類的日常生活行為

1. Weizmann 人體行為庫
此數據庫一共包括90段視頻，這些視頻分別是由9個人執行了10個不同的動作（bend, jack, jump, pjump, run, side, skip, walk, wave1,wave2）。視頻的背景，視角以及攝像頭都是靜止的。而且該數據庫提供標注好的前景輪廓視頻。不過此數據庫的正確率已經達到100%了，現在發文章基本沒人用了呀。下載地址： http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html

2. KTH人體行為數據庫
該數據庫包括6類行為（walking, jogging, running, boxing, hand waving, hand clapping）,是由25個不同的人執行的，分別在四個場景下，一共有599段視頻。背景相對靜止，除了鏡頭的拉近拉遠，攝像機的運動比較輕微。這個數據庫是現在的benchmark，正確率需要達到95.5%以上才能夠發文章。下載地址： http://www.nada.kth.se/cvap/actions/

3. INRIA XMAX多視角視頻庫
該數據庫從五個視角獲得，一共11個人執行14種行為。室內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。下載地址： http://4drepository.inrialpes.fr/public/viewgroup/6

4. UCF Sports 數據庫
該視頻包括150段關於體育的視頻，一共有13個動作。實驗室采用留一交叉驗證法。2011年cvpr有幾篇都用這個數據庫，正確率要達到87%才能發文章。下載地址： http://vision.eecs.ucf.edu/data.html

5. Hollywood 人體行為庫
該數據庫包括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
該數據庫有16種行為，783段視頻。現在的正確率大約在75%左右。

下載地址： http://vision.stanford.edu/Datasets/OlympicSports/

7. UIUC action dataset
這個數據庫已經做到98%了，建議不要去做了。下載地址： http://vision.cs.uiuc.edu/projects/activity /

ComputerVision中一些常用的圖像數據庫

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):