Research Article
An Efficient Feature Selection Method for Video-Based Activity Recognition Systems
Table 8
Accuracy of the designed approach with targeted projection pursuit on depth database.
| Activities | BD | JK | PJU | RUN | SMO | SKI | WAK | 1HW | 2HW | JU | CL | BOX | SS |
| BD | 80 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 3 | 1 | 2 | JK | 2 | 77 | 1 | 2 | 1 | 2 | 4 | 2 | 3 | 2 | 1 | 2 | 1 | PJU | 2 | 1 | 79 | 2 | 4 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | RUN | 1 | 2 | 1 | 82 | 2 | 2 | 1 | 2 | 1 | 1 | 2 | 2 | 1 | SMO | 2 | 1 | 2 | 2 | 76 | 4 | 2 | 1 | 2 | 2 | 4 | 1 | 1 | SKI | 2 | 2 | 1 | 6 | 2 | 74 | 1 | 2 | 1 | 4 | 1 | 2 | 2 | WAK | 1 | 2 | 2 | 2 | 1 | 2 | 78 | 4 | 2 | 1 | 2 | 2 | 1 | 1HW | 0 | 1 | 2 | 1 | 1 | 4 | 2 | 83 | 2 | 0 | 1 | 1 | 2 | 2HW | 1 | 2 | 0 | 1 | 2 | 1 | 1 | 2 | 86 | 2 | 0 | 1 | 1 | JU | 1 | 2 | 1 | 0 | 1 | 0 | 2 | 1 | 2 | 88 | 1 | 0 | 1 | CL | 2 | 0 | 2 | 2 | 1 | 1 | 1 | 2 | 1 | 2 | 82 | 2 | 2 | BOX | 1 | 2 | 2 | 1 | 2 | 2 | 1 | 2 | 2 | 1 | 2 | 78 | 4 | SS | 2 | 2 | 1 | 2 | 1 | 2 | 6 | 1 | 1 | 2 | 4 | 1 | 75 | Average | 79.8% |
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