Depth Map-based Human Activity Tracking and Recognition Using Body Joints Features and Self-Organized Map
Duration
[2012 – 2014], Designation = Research Associate
Supported by
This work was supported by the 2014 RD Program for SW Computing Industrial Core Technology through the MSIP(Ministry of Science, ICT and Future Planning)/ KEIT(Korea Evaluation Institute of Industrial Technology). (Project No. 14-824-09-005) and also supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the IT Consilience Creative Program (NIPA- 2014-H0201-14-1001) supervised by the NIPA(National IT Industry Promotion Agency).
Project Description
This work was supported by the 2014 RD Program for SW Computing Industrial Core Technology through the MSIP(Ministry of Science, ICT and Future Planning)/ KEIT(Korea Evaluation Institute of Industrial Technology). (Project No. 14-824-09-005) and also supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the IT Consilience Creative Program (NIPA- 2014-H0201-14-1001) supervised by the NIPA(National IT Industry Promotion Agency).
