Datasets-Action-Recognition

Action Recognition: Datasets

Action Recognition is a computer vision task. The objective of the computer vision is to solve real world problems rather than the toy problems. Action Recognition has many real time applications such as human computer interaction, intelligent video surveillance and content based video retrieval etc. In this article, All publicly available datasets for action recognition is given with the download links. In addition, the fall detection and monitoring datasets are given. By studying this article, researchers will come to know the available datasets for action recognition.

In previous days, conventional (RGB) cameras were used for action recognition. The visible light cameras have many limitations such as lack of 3D information and suffering from severe illumination effects. When the low cost depth cameras like kinect available in the market, the research interest on action recognition has been increased using depth data. Hence, the datasets for action recognition using depth data have been in development for research purpose. This article gives the details of popular public available datasets for action recognition.

The following table will give details about the public available datasets for action recognition using depth data.

SNO	Name	Description	No of actions	No of Subjects	Toal Sequences	URL (Download link)
1	MSR Action 3D	This dataset contains depth sequences pertaining to 20 actions, captured by kinect sensor. There are 10 subjects and each subject perform action two or three times and hence totally 567 depth sequences are produced. It is developed by Wanqing Li during his time at Microsoft Research Redmond. [Single View action dataset]	20	10	567	http://research.microsoft.com/en-us/um/people/zliu/actionrecorsrc/.
2	UTD Multimodel Human Action Dataset	The description can be found in the link : "http://www.utdallas.edu/~kehtar/Kinect2DatasetReadme.pdf"	27	8 (4 male, 4 female)	861	http://www.utdallas.edu/~kehtar/Kinect2Dataset.zip
3	UTD Multiview Human Action Dataset	The description can be found in the link : "http://www.utdallas.edu/~kehtar/MultiViewDataset.pdf"	-	-	-	http://www.utdallas.edu/~kehtar/MultiViewDataset.zip
4	Online RGBD Action Dataset (ORGBD)	The description can be found in the link : "https://sites.google.com/site/skicyyu/orgbd"	7	-	-	https://sites.google.com/site/skicyyu/orgbd
5	UTKinect-Action3D dataset	developed by University of Texas at Austin in 2012	10	10	-	http://cvrc.ece.utexas.edu/KinectDatasets/HOJ3D.html
6	TST Fall detection dataset v1	The description can be found in the link : "http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFall1"	-	4 (AGE:26-27)	-	http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFall1
7	TST Fall detection dataset v2	The description can be found in the link : "http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFall2"	-	11 (AGE:22-39)	-	http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFall2
8	TST TUG dataset	The description can be found in the link : "http://www.tlc.dii.univpm.it/blog/databases4kinect#IDTUG"	-	20 (AGE:22-39)	-	http://www.tlc.dii.univpm.it/blog/databases4kinect#IDTUG
9	TST Intake Monitoring dataset v1	The description can be found in the link : "http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFood"	-	35 (AGE:22-39)	-	http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFood
10	TST Intake Monitoring dataset v2	The description can be found in the link : "http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFood2"	-	20(AGE:23-41)	-	http://www.tlc.dii.univpm.it/blog/databases4kinect#IDFood2
11	RGBD-HuDaAct	collected by Advanced Digital Sciences Center Singapore in 2011	12	30	-	http://adsc.illinois.edu/sites/default/files/files/ADSC-RGBD-dataset-download-instructions.pdf
12	CAD-60	developed by Cornell University in 2011	12	4	-	http://pr.cs.cornell.edu/humanactivities/data.php
13	MSRC-12 dataset(Kinect Gesture)	developed by Microsoft Research Cambridge and University of Cambridge in 2012	-	-	-	http://research.microsoft.com/en-us/um/cambridge/projects/msrc12/
14	G3D(Gaming 3D dataset)	developed by Kingston University in 2012	20	10	-	http://dipersec.king.ac.uk/G3D/
15	Depth-included Human Action video dataset (DHA)	developed by CITI in Academia Sinica	23	21	-	http://mclab.citi.sinica.edu.tw/dataset/dha/dha.html

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