Table 7 Comparison of accuracy on different datasets (KTH, UCF-11, AVA, collective action)
Dataset | References | Technique used | Earlier result (%) | Proposed result (%) |
|---|---|---|---|---|
KTH | Jhuang et al. [27] | SVM | 91.70 | 98.47 |
Lin et al. [28] | k-NN | 93.43 | ||
Liu et al. [29] | Adaboost with C.45 | 93.80 | ||
Kim et al. [30] | NN | 95.33 | ||
UCF-11 | Liu et al. [26] | Adaboost with C.45 | 71.2 | 99.52 |
Cho et al. [15] | SVM and Kernel group sparsity | 84.2 | ||
Ravanbakhsh et al. [31] | CNN | 88.0 | ||
89.5 | ||||
AVA | Ulutan et al. [32] | Actor conditioned attention maps | 97.10 | 99.74 |
99.74 | ||||
Collective action | Choi and Savarese [33] | Multiclass SVM | 79.2 | 99.97 |
Choi et al. [34] | Randomized spatio-temporal volume (RSTV) | 82.0 |