Common Image Database _ database

Common Image Database 1, http://www.multitel.be/cantata/This site provides a large number of video and image database download index, and has a corresponding introduction, strongly recommended. Take your time and find your own surprises. 2, http://www.cvpapers.com/datasets.html cvdatasets on the web, mostly like upright pedestrian detection .... 3, there are several kinds of HTTP://WWW.CVC.UAB.ES/ADAS/SITE/?Q=NODE/7 inside the database can download: CVC Virtual pedestrian DataSet, Cvc-01pedestrian DataSet, CVC-02 Pedestriandataset 4, Http://www.cis.upenn.edu/~jshi/ped_html/Databasedescription:This is a 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 would 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 images are takenfrom around University of Pennsylvania, a nd other 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 to from a vehicle driving through regulartraffic at an urban environment. About 250,000 frames (in 137 approximatelyminute long segments) with a total of 350,000 bounding boxes and 2300 Uniquepede Strians were annotated. The annotation includes temporal correspondencebetween bounding boxes and detailed occlusion. More information can befound at 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 Human Behavior Library Http://www.nada.kth.se/cvap/actions/KTH human Behavior database http:// 4drepository.inrialpes.fr/public/viewgroup/6 inria xmax Multi-view video library Http://vision.eecs.ucf.edu/data. HTML UCF Sports Database http://www.di.ens.fr/~laptev/actions/hollywood2/Hollywood human Behavior Library http://vision.stanford.edu/Datasets/olympicsports/olympic Sports DataSet These databases are based on action/behavior recognition (in the 1th URL can also find their download address), the article "Video of behavioral Recognition public database Summary" The evaluation of them is more pertinent, as can be see: http://blog.sina.com.cn/s/blog_631a4cc40101138j.html 8, Http://homepages.inf.ed.ac.uk/rbf/BEHAVE /computer-assistedprescreening of streams for unusual activities 9, http://www.cc.gatech.edu/cpl/projects/ Monsoon/propagationnet/propagationnet.htm propagation Networks for recognizing partially activity. Goals:represent and fuse human knowledge of daily activities with noisy perceptual features detect and recognize a Activ ity pinpoint components of the activity and detect missing or improperly performed steps 84da173065/areadatum.aspx by the State Key laboratory of pattern recognition provided by the link, the data volume is relatively large, usually need to sign the agreement, the CD-ROM form to get the data. Can download the iris library data, palmprint database, gait database, Chinese language resource pool, handwriting database, three-dimensional face database, behavioral analysis database One, http://www.datatang.com here also provides some database downloads, a variety of more, but need to pay, Do not advertise Oh, ah, suggested that you can get some clues from the database introduction to Google, then you may download to the original and free of Oh 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 D Atabase 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 the link from the author of the article 16,http://architecture.mit.edu/house_n/data/, like 15, is about 1 of the daily activities of smart homes and elderly care classes. Weizmann Human Behavior Library This database consists of 90 video clips, which were performed by 9 individuals with 10 different actions (Bend, Jack, Jump, Pjump, run, side, skip, walk, Wave1,wave2). The video's background, perspective, and camera are still. And the database provides a good foreground profile video. However, the correct rate of the database has reached 100%, and now the basic no one to use the article AH. Download Address: http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html 2. KTH Human Behavior Database The database consists of 6 types of behaviors (walking, jogging, running, boxing, hand waving, hand clapping), which are performed by 25 different people in four scenarios, with 599 videos in total. The background is relatively static, except for the zoom of the camera, the camera movement is relatively slight. This database is now benchmark, the correct rate needs to reach more than 95.5% to be able to send articles. Download Address: HTTP://WWW.NADA.KTH.SE/CVAP/ACTIONS/3. Inria Xmax Multi-View video library The database is available from five perspectives, with a total of 11 people performing 14 behaviors. A total of 5 cameras are installed in four directions and heads of the interior. In addition, the background and illumination are basically the same. Download Address: http://4DREPOSITORY.INRIALPES.FR/PUBLIC/VIEWGROUP/6 4. UCF Sports Database This video includes 150 videos on sports, a total of 13 actions. The laboratory adopts the method of leaving one cross validation. 2011 CVPR have a few use this database, the correct rate to reach 87% to send articles. Download Address: http://vision.eecs.ucf.edu/data.html 5. Hollywood Human Behavior Library The database includes 8 types of behavior. These are all fragments of the movie. Download Address: HTTP://WWW.DI.ENS.FR/~LAPTEV/ACTIONS/HOLLYWOOD2/6. Olympic sports DataSet The database has 16 kinds of behavior, 783 videos. The correct rate now is around 75%. Download Address: HTTP://VISION.STANFORD.EDU/DATASETS/OLYMPICSPORTS/7. UIUC Action DataSet This database has been done 98%, it is recommended not to do it. Download address: Some commonly used image databases in http://vision.cs.uiuc.edu/projects/activity/ComputerVision 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 Dataset (PETS2000):  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 (PETS2005): http:// www.cvg.cs.rdg.ac.uk/PETS-ICVS/pets-icvs-db.html PETS-ECCV DataSet (PETSECCV2004): Pets-icvs 2003 DataSet ( PETSICVS2003): Pets summary 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 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): Shine Kinect pose recognition databases: http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx depth Image processing Database http:/ /www.mmk.ei.tum.de/layout.php? LANGEXT=&SELECTEDMAIN=VERSCHIEDENES&SELECTEDSUB=TUMGAIT2#DOWNL Common Image Database 1, http://www.multitel.be/cantata/ This URL provides a large number of videos and images of the database download index, and has a corresponding introduction, strongly recommended. Take your time and find your own surprise. 2,Http://www.cvpapers.com/datasets.html cvdatasets on the web, mostly like upright pedestrian detection .... 3, there are several kinds of HTTP://WWW.CVC.UAB.ES/ADAS/SITE/?Q=NODE/7 inside the database can download: CVC Virtual pedestrian DataSet, Cvc-01pedestrian DataSet, CVC-02 Pedestriandataset 4, Http://www.cis.upenn.edu/~jshi/ped_html/Databasedescription:This is a 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 would 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 images are takenfrom around University of Pennsylvania, a nd other 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 Urban environment. About 250,000 frames (in 137 approximatelyminute long segments) with a total of 350,000 bounding boxes and 2300 Uniquepede Strians were annotated. The annotation includes temporal correspondencebetween bounding boxes and detailed occlusion. More information can befound at 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 Human Behavior Library Http://www.nada.kth.se/cvap/actions/KTH human Behavior database http:// 4drepository.inrialpes.fr/public/viewgroup/6 inria xmax Multi-view video library Http://vision.eecs.ucf.edu/data. HTML UCF Sports Database http://www.di.ens.fr/~laptev/actions/hollywood2/Hollywood human Behavior Library http://vision.stanford.edu/ Datasets/olympicsports/olympic Sports DataSet These databases are based on action/behavior recognition (in the 1th URL can also find their download address), the article "Video of behavioral recognition of the publicOpen database Summary for their evaluation is more pertinent, can see: 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 activity. Goals:represent and fuse human knowledge of daily activities with noisy perceptual features detect and recognize a Activ ity pinpoint components of the activity and detect missing or improperly performed steps 84da173065/areadatum.aspx by the State Key laboratory of pattern recognition provided by the link, the data volume is relatively large, usually need to sign the agreement, the CD-ROM form to get the data. Can download the iris library data, palmprint database, gait database, Chinese language resource pool, handwriting database, three-dimensional face database, behavioral analysis database One, http://www.datatang.com here also provides some database downloads, a variety of more, but need to pay, Do not advertise Oh, ah, suggested that you can get some clues from the database introduction to Google, then you may download to the original and free of Oh 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 from the author of the article to come to the link 16,http://architecture.mit.edu/house_n/data/the same as 15, is about smart home, the elderly care class daily life behavior 1. Weizmann Human Behavior Library This database consists of 90 video clips, which were performed by 9 individuals with 10 different actions (Bend, Jack, Jump, Pjump, run, side, skip, walk, Wave1,wave2). The video's background, perspective, and camera are still. And the database provides a good foreground profile video. However, the correct rate of the database has reached 100%, and now the basic no one to use the article AH. Download Address: http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html 2. KTH Human Behavior Database The database consists of 6 types of behaviors (walking, jogging, running, boxing, hand waving, hand clapping), which are performed by 25 different people in four scenarios, with 599 videos in total. The background is relatively static, except for the zoom of the camera, the camera movement is relatively slight. This database is now benchmark, the correct rate needs to reach more than 95.5% to be able to send articles. Download Address: HTTP://WWW.NADA.KTH.SE/CVAP/ACTIONS/3. Inria Xmax Multi-View video library The database is available from five perspectives, with a total of 11 people performing 14 behaviors. A total of 5 cameras are installed in four directions and heads of the interior. In addition, the background and illumination are basically the same. Download Address: HTTP://4DREPOSITORY.INRIALPES.FR/PUBLIC/VIEWGROUP/6 4. UCF Sports Database This video includes 150 videos on sports, a total of 13 actions. Laboratory use of stayA cross validation method. 2011 CVPR have a few use this database, the correct rate to reach 87% to send articles. Download Address: http://vision.eecs.ucf.edu/data.html 5. Hollywood Human Behavior Library The database includes 8 types of behavior. These are all fragments of the movie. Download Address: HTTP://WWW.DI.ENS.FR/~LAPTEV/ACTIONS/HOLLYWOOD2/6. Olympic sports DataSet The database has 16 kinds of behavior, 783 videos. The correct rate now is around 75%. Download Address: HTTP://VISION.STANFORD.EDU/DATASETS/OLYMPICSPORTS/7. UIUC Action DataSet This database has been done 98%, it is recommended not to do it. Download address: Some commonly used image databases in http://vision.cs.uiuc.edu/projects/activity/ComputerVision 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 Dataset (PETS2000):  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 the DataSet ( PETS2005): http://www.cvg.cs.rdg.ac.uk/PETS-ICVS/pets-icvs-db.html PETS-ECCV Dataset (PETSECCV2004): Pets-icvs 2003 Dataset (PETSICVS2003): Pets Rollup 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 vide O (): Texture Database (TDB): Http://www-cvr.ai.uiuc.edu/ponce_grp/data texture database for themeasurement of TEXTURECLA Ssification 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): Shine Kinect pose recognition database: http://research.microsoft.com/en-us/downloads/ 4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx depth image processing database http://www.mmk.ei.tum.de/layout.php? Langext=&selectedmain=verschiedenes&selectedsub=tumgait2#downl