Research Article
An Efficient Feature Selection Method for Video-Based Activity Recognition Systems
Table 11
Accuracy of the designed approach with probabilistic distance on depth database.
| Activities | BD | JK | PJU | RUN | SMO | SKI | WAK | 1HW | 2HW | JU | CL | BOX | SS |
| BD | 75 | 2 | 2 | 1 | 4 | 2 | 1 | 2 | 2 | 1 | 2 | 4 | 2 | JK | 2 | 80 | 1 | 2 | 2 | 2 | 3 | 0 | 1 | 2 | 1 | 2 | 2 | PJU | 1 | 2 | 77 | 2 | 1 | 4 | 2 | 3 | 2 | 1 | 2 | 2 | 1 | RUN | 1 | 2 | 1 | 82 | 2 | 1 | 1 | 2 | 2 | 1 | 2 | 1 | 2 | SMO | 2 | 1 | 2 | 2 | 80 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | SKI | 1 | 2 | 1 | 4 | 2 | 79 | 1 | 2 | 2 | 2 | 1 | 2 | 1 | WAK | 2 | 1 | 2 | 0 | 1 | 2 | 83 | 1 | 2 | 1 | 2 | 1 | 2 | 1HW | 0 | 2 | 0 | 2 | 1 | 1 | 2 | 87 | 1 | 2 | 0 | 0 | 2 | 2HW | 1 | 2 | 3 | 1 | 2 | 1 | 4 | 2 | 77 | 2 | 2 | 1 | 2 | JU | 2 | 0 | 1 | 2 | 1 | 2 | 0 | 1 | 2 | 84 | 2 | 2 | 1 | CL | 1 | 1 | 2 | 1 | 2 | 0 | 2 | 2 | 1 | 1 | 86 | 1 | 0 | BOX | 1 | 2 | 2 | 1 | 2 | 5 | 1 | 2 | 2 | 4 | 1 | 75 | 2 | SS | 2 | 2 | 1 | 2 | 1 | 2 | 2 | 0 | 2 | 1 | 2 | 2 | 81 | Average | 80.4% |
|
|