Research Article

Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature

Table 2

Accuracy comparisons of different methods on KTH, YouTube and J-HMDB datasets.

KTHYouTubeJ-HMDB

ISA [15]86.5%Liu et al. [16]71.2%Traditional FV [17]62.83%
Yeffet and Wolf [18]90.1% Ikizler-Cinbis and Sclaroff [19]75.21%Stacked FV [17]59.27%
Cheng et al. [20]89.7%DT + BoVW [1]85.4%DT + BOW [10]56.6%
Le et al. [15]93.9%Mid-level parts [21]84.5%IDT + FV [17]62.8%

Two-layer model92.6%Two-layer model87.6%Two-layer model67.4%