行为分析数据库
来源:互联网 发布:天刀英气女性捏脸数据 编辑:程序博客网 时间:2024/05/22 03:43
中科院自动化所 生物识别与安全技术研究中心 http://www.cbsr.ia.ac.cn/china/Action%20Databases%20CH.asp
原文 http://blog.sina.com.cn/s/blog_631a4cc40101138j.html
1. Weizmann 人体行为库
7. UIUC action dataset
原文 http://blog.csdn.net/zdz8889/article/details/9207083
1,http://www.multitel.be/cantata/
这个网址提供了大量的视频和图像的数据库下载索引,并有相应的介绍,强烈推荐!大家慢慢去找寻自己的惊喜吧
2,http://www.cvpapers.com/datasets.html
CVDatasets on the web , 主要好像是直立行人检测....
3,http://www.cvc.uab.es/adas/site/?q=node/7
里面又有好几种数据库可以下载: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 CVPR2009benchmarking papers.
6,http://www.edgar-seemann.de/pd/datasets.py
PedestrianDetection
7,http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html#Database Weizmann 人体行为库
http://www.nada.kth.se/cvap/actions/ KTH人体行为数据库
http://4drepository.inrialpes.fr/public/viewgroup/6 INRIA XMAX多视角视频库
http://vision.eecs.ucf.edu/data.html UCF Sports 数据库
http://www.di.ens.fr/~laptev/actions/hollywood2/ Hollywood 人体行为库
http://vision.stanford.edu/Datasets/OlympicSports/ Olympic sports dataset
这几个数据库均是基于动作/行为识别的(在第1条网址中也可以找到它们的下载地址),文章《视频中行为识别公开数据库汇总
》对它们的评价比较中肯,可以参看: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
由模式识别国家重点实验室提供的链接,数据量比较大,通常需要签属协议,以光盘形式拿到数据。可以下载的有虹膜库数据、掌纹数据库、步态数据库、中文语言资源库、笔迹数据库、三维人脸数据库、行为分析数据库
11,http://www.datatang.com
这里也提供一些数据库下载,种类比较多,但是需要付费,不是打广告哦,呵呵,建议大家可以从它那里的数据库介绍中找些线索来进行google,然后你就有可能下载到原始且免费的了哦
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 从文章作者那里要来的链接
16,http://architecture.mit.edu/house_n/data/
与15的一样,是关于智能家居、老人看护类的日常生活行为
1. Weizmann 人体行为库
此数据库一共包括90段视频,这些视频分别是由9个人执行了10个不同的动作(bend, jack, jump, pjump, run, side, skip, walk, wave1,wave2)。视频的背景,视角以及摄像头都是静止的。而且该数据库提供标注好的前景轮廓视频。不过此数据库的正确率已经达到100%了,现在发文章基本没人用了呀。下载地址:http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html
2. KTH人体行为数据库
该数据库包括6类行为(walking, jogging, running, boxing, hand waving, hand clapping),是由25个不同的人执行的,分别在四个场景下,一共有599段视频。背景相对静止,除了镜头的拉近拉远,摄像机的运动比较轻微。这个数据库是现在的benchmark,正确率需要达到95.5%以上才能够发文章。下载地址:http://www.nada.kth.se/cvap/actions/
3. INRIA XMAX多视角视频库
该数据库从五个视角获得,一共11个人执行14种行为。室内四个方向和头顶一共安装5个摄像头。另外背景和光照基本不变。下载地址:http://4drepository.inrialpes.fr/public/viewgroup/6
4. UCF Sports 数据库
该视频包括150段关于体育的视频,一共有13个动作。实验室采用留一交叉验证法。2011年cvpr有几篇都用这个数据库,正确率要达到87%才能发文章。下载地址:http://vision.eecs.ucf.edu/data.html
5. Hollywood 人体行为库
该数据库包括8类行为。这些都是电影中的片段。下载地址:http://www.di.ens.fr/~laptev/actions/hollywood2/
6. Olympic sports dataset
该数据库有16种行为,783段视频。现在的正确率大约在75%左右。下载地址:http://vision.stanford.edu/Datasets/OlympicSports/
7. UIUC action dataset
这个数据库已经做到98%了,建议不要去做了。下载地址:http://vision.cs.uiuc.edu/projects/activity/
ComputerVision中一些常用的图像数据库
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汇总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):
微软剑桥研究院kinect姿势识别数据库:
http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx
深度图像处理数据库
http://www.mmk.ei.tum.de/layout.php?LangExt=&selectedMain=Verschiedenes&selectedSub=TUMGAIT2#downl
常用图像数据库
1,http://www.multitel.be/cantata/
这个网址提供了大量的视频和图像的数据库下载索引,并有相应的介绍,强烈推荐!大家慢慢去找寻自己的惊喜吧
2,http://www.cvpapers.com/datasets.html
CVDatasets on the web , 主要好像是直立行人检测....
3,http://www.cvc.uab.es/adas/site/?q=node/7
里面又有好几种数据库可以下载: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 CVPR2009benchmarking papers.
6,http://www.edgar-seemann.de/pd/datasets.py
PedestrianDetection
7,http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html#Database Weizmann 人体行为库
http://www.nada.kth.se/cvap/actions/ KTH人体行为数据库
http://4drepository.inrialpes.fr/public/viewgroup/6 INRIA XMAX多视角视频库
http://vision.eecs.ucf.edu/data.html UCF Sports 数据库
http://www.di.ens.fr/~laptev/actions/hollywood2/ Hollywood 人体行为库
http://vision.stanford.edu/Datasets/OlympicSports/ Olympic sports dataset
这几个数据库均是基于动作/行为识别的(在第1条网址中也可以找到它们的下载地址),文章《视频中行为识别公开数据库汇总
》对它们的评价比较中肯,可以参看: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
由模式识别国家重点实验室提供的链接,数据量比较大,通常需要签属协议,以光盘形式拿到数据。可以下载的有虹膜库数据、掌纹数据库、步态数据库、中文语言资源库、笔迹数据库、三维人脸数据库、行为分析数据库
11,http://www.datatang.com
这里也提供一些数据库下载,种类比较多,但是需要付费,不是打广告哦,呵呵,建议大家可以从它那里的数据库介绍中找些线索来进行google,然后你就有可能下载到原始且免费的了哦
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 从文章作者那里要来的链接
16,http://architecture.mit.edu/house_n/data/
与15的一样,是关于智能家居、老人看护类的日常生活行为
1. Weizmann 人体行为库
此数据库一共包括90段视频,这些视频分别是由9个人执行了10个不同的动作(bend, jack, jump, pjump, run, side, skip, walk, wave1,wave2)。视频的背景,视角以及摄像头都是静止的。而且该数据库提供标注好的前景轮廓视频。不过此数据库的正确率已经达到100%了,现在发文章基本没人用了呀。下载地址:http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html
2. KTH人体行为数据库
该数据库包括6类行为(walking, jogging, running, boxing, hand waving, hand clapping),是由25个不同的人执行的,分别在四个场景下,一共有599段视频。背景相对静止,除了镜头的拉近拉远,摄像机的运动比较轻微。这个数据库是现在的benchmark,正确率需要达到95.5%以上才能够发文章。下载地址:http://www.nada.kth.se/cvap/actions/
3. INRIA XMAX多视角视频库
该数据库从五个视角获得,一共11个人执行14种行为。室内四个方向和头顶一共安装5个摄像头。另外背景和光照基本不变。下载地址:http://4drepository.inrialpes.fr/public/viewgroup/6
4. UCF Sports 数据库
该视频包括150段关于体育的视频,一共有13个动作。实验室采用留一交叉验证法。2011年cvpr有几篇都用这个数据库,正确率要达到87%才能发文章。下载地址:http://vision.eecs.ucf.edu/data.html
5. Hollywood 人体行为库
该数据库包括8类行为。这些都是电影中的片段。下载地址:http://www.di.ens.fr/~laptev/actions/hollywood2/
6. Olympic sports dataset
该数据库有16种行为,783段视频。现在的正确率大约在75%左右。下载地址:http://vision.stanford.edu/Datasets/OlympicSports/
7. UIUC action dataset
这个数据库已经做到98%了,建议不要去做了。下载地址:http://vision.cs.uiuc.edu/projects/activity/
ComputerVision中一些常用的图像数据库
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汇总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):
微软剑桥研究院kinect姿势识别数据库:
http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx
深度图像处理数据库
http://www.mmk.ei.tum.de/layout.php?LangExt=&selectedMain=Verschiedenes&selectedSub=TUMGAIT2#downl
- 行为分析数据库
- 用户行为分析数据库设计
- 【行为分析】GA用户行为分析
- SNS用户行为分析
- 用户行为分析
- 用户行为分析算法
- MediaScanner的行为分析
- 用户行为分析
- 免费行为分析网址
- 用户行为分析心得
- 消费者行为分析模型
- 用户行为分析心得
- 淘宝用户行为分析
- 用户行为分析
- iBeacon行为分析
- 用户行为分析心得
- 用户行为分析心得
- 搜索行为分析
- oracle修改字符集
- 习近平谈三严三实
- StringBuffer的用法
- install libncurse5-dev for menuconfig
- Can't create handler inside thread that has not called Looper.prepare()
- 行为分析数据库
- Python 数字
- 数据结构的链式存储结构
- eclipse插件大全介绍,以及下载地址
- 台式机硬盘被格式化数据怎么恢复
- 在 C# 中通过 P/Invoke 调用Win32 DLL
- 读取文件夹下的子文件夹的所有文件名,并保存成以子文件命名的txt文件
- Oracle里面关于排序的优化
- .NET垃圾回收机制