Research Article
An Efficient Feature Selection Method for Video-Based Activity Recognition Systems
Table 10
Accuracy of the designed approach with variable neighborhood search on depth database.
| Activities | BD | JK | PJU | RUN | SMO | SKI | WAK | 1HW | 2HW | JU | CL | BOX | SS |
| BD | 88 | 2 | 0 | 1 | 1 | 2 | 1 | 0 | 2 | 0 | 2 | 0 | 1 | JK | 0 | 89 | 1 | 2 | 1 | 2 | 0 | 1 | 0 | 2 | 0 | 2 | 0 | PJU | 1 | 0 | 92 | 1 | 0 | 0 | 2 | 1 | 2 | 0 | 1 | 0 | 0 | RUN | 0 | 2 | 1 | 91 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 2 | SMO | 2 | 0 | 0 | 1 | 93 | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 0 | SKI | 0 | 2 | 1 | 0 | 2 | 90 | 1 | 0 | 1 | 2 | 1 | 0 | 1 | WAK | 1 | 0 | 2 | 2 | 0 | 2 | 87 | 2 | 1 | 0 | 2 | 1 | 0 | 1HW | 2 | 1 | 1 | 2 | 1 | 0 | 2 | 85 | 0 | 2 | 0 | 2 | 2 | 2HW | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 93 | 0 | 1 | 0 | 0 | JU | 0 | 2 | 1 | 0 | 2 | 0 | 1 | 1 | 0 | 91 | 0 | 1 | 1 | CL | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 94 | 1 | 0 | BOX | 1 | 2 | 0 | 1 | 2 | 0 | 1 | 2 | 0 | 1 | 0 | 89 | 1 | SS | 2 | 0 | 2 | 1 | 1 | 2 | 0 | 1 | 2 | 1 | 2 | 1 | 85 | Average | 89.8% |
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