Last update on 2009-03-24.
Update on 2007-12-01.
Update on 2006-11-01.
Update on 2004.4.1, 2.12,1.24,2003.9.17,6.22,6.6,3.12. Since 2003.3.10.
[Reference] Action Recognition Research of ICS
These public data are intellectual properties of Intelligent Cooperative Systems Laboratory or Taketoshi MORI, Masamichi SHIMOSAKA and Kousuke TSUJIOKA. The public data are permitted to be used or changed, provided following the conditions below.
2004-01-24: Motion/Movement data are of BVH(BioVision Hiearhical) format, and action name data are added as evaluation value records.
The ground truth of action name for a motion is defined by "Human thought".
Action name may be usually assigned for a motion sequence. In spite of this, action name is assigned to every frame in the public data. A frame may correspond to several action names.
A frame of FoldArms file
Example of FoldArms file(AVI, About 300Kbytes)
A frame of GetUp file
Example of GetUp file(AVI, About 550Kbytes)
There are 25 BVH files for target 25 actions.
Teacher data exist for target 25 actions for each BVH. i.e. 25 * 25 = 625 files.
There exist 5 above sets.
The data have been open to public since 2003-03-10.
Same as 2003-09-17 version. Compressed as zip.
Output example 1 of an ICS Action Recognition System
Related research papers
Time-Series Human Motion Analysis with Kernels Derived from Learned Switching Linear Dynamics
Transactions of the Japanese Society of Artificial Intelligence, Vol. 20, No. 3, 2005.
Marginalized Bags of Vectors Kernels on Switching Linear Dynamics for Online Action Recognition
International Conference on Robotics and Automation, 2005.
Time-Series Human Motion Analysis with Kernels Derived from Learned Switching Linear Dynamics.
The Second International Workshop on Man-Machine Symbiotic Systems(IWMMS2004),pp. 161-172, 10 2004.
Recognition of Daily Life Action and Its Performance Adjustment based on Support Vector Learning
International Journal of Humanoid Robotics, Vol.1, No.4, 565-583, 12 2004.
Informative Motion Extractor for Action Recognition with Kernel Feature Alignment.
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems,(IROS), pp.2009-2014, 9 2004.
SVM-based Human Action Recognition and its Remarkable Motion Features Discovery Algorithm
The 9th International Symposium on Experimental Robotics 2004(ISER2004), 01paper129, 6 2004.
Action Recognition Based on Kernel Machine Encoding Qualitative Prior Knowledge
Proceedings of 2004 IEEE International Conference on Systems, Man and Cybernetics, pp.1569-1576, The Hague, Netherlands, 10 2004.
Segmentation of Sequential Daily-Actions Based on Hidden Markov Models and Human Body Hierarchy
The Second International Workshop on Man-Machine Symbiotic Systems(IWMMS2004), pp. 207-218, 10 2004.
Hierarchical Recognition of Daily Human Actions Based on Continuous Hidden Markov Models
The 6th International Conference on Automatic Face and Gesture Recognition(FG2004), 5 2004. to appear, accepted.
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