| Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2015: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2013: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
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| Outline of Final Research Achievements |
In this research, we developed a new method for spotting specific finger alphabet words from an input sign language video. We addressed the spotting task by employing the basic idea of temporal regularized canonical correlation analysis (TRCCA). The classification accuracy of TRCCA is enhanced by incorporating two functions: 1) parallel processing with multiple time scales, 2) implicit feature mapping by nonlinear orthogonalization. The enhanced TRCCA is called “kernel orthogonal TRCCA (KOTRCCA)”. We demonstrated its effectiveness through the experiments in the task of spotting 8 kinds of finger alphabet words from a sign language vide. In addition, as another approach to spotting, we developed a randomized extension of the DTW, termed randomized time warping (RTW), which generates time elastic (TE) features by randomly sampling the sequential data while retaining the temporal information. We also demonstrated the applicability of RTW through experiments on three public datasets.
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