Ant_ViBe: Improved ViBe Algorithm Based on Ant Colony Clustering under Dynamic Background

Table 4

Comparison of Ant_ViBe and traditional FTDA under dynamic background.

Method	Recall	Specificity	FPR	FNR	PWC	F-measure	Precision
KNN [3]	0.8047	0.9937	0.0063	0.1953	0.8059	0.6865	0.6931
PSP-MRF [8]	0.8955	0.9859	0.0141	0.1045	1.4514	0.6960	0.6576
KDE [15]	0.8401	0.9908	0.0092	0.1599	1.1501	0.6016	0.5413
GMM [2]	0.8344	0.9896	0.0104	0.1656	1.2083	0.6330	0.5989
Bayesian Background [20]	0.5962	0.9917	0.0083	0.4038	1.2427	0.5369	0.6898
ViBe [5]	0.7222	0.9896	0.0104	0.2778	1.2796	0.5652	0.5346
Ant_ViBe	0.6067	0.9969	0.0031	0.3933	0.8644	0.5821	0.7149

The best index values of seven algorithms are shown in bold.