Table 7.

Implementations of the evaluated BS algorithms.

BS	Initiation	Channels	Features	BG Model	Detection	Update
AdaptiveMedian	Several Frames (Detection in Initiation)	Bit-wise OR	RGB Color	Running Median	L1 Distance	Iterative
Bayes	One Frame	Bit-wise OR	Multi-feature Fusion (RGB Color & Color Co-occurrence)	Histogram	Probability	Hybrid (Selective & Iterative)
Codebook	Several Frames (No Detection in Initiation)	Bit-wise OR	YUV Color	Codeword	Minus	Selective
Gaussian	One Frame	Fusion	RGB Color	Statistics	L2 Distance	Iterative
GMG	Several Frames (No Detection in Initiation)	Fusion	RGB color	Histogram	Probability	Hybrid (Selective & Iterative)
GMM1	One Frame	Fusion	RGB Color	Statistics with Weights	L2 Distance	Hybrid (Selective & Iterative)
GMM2	One Frame	Fusion	RGB Color	Statistics with Weights	L2 Distance	Hybrid (Selective & Iterative)
GMM3	One Frame	Fusion	RGB Color	Statistics with Weights	L2 Distance	Hybrid (Selective & Iterative)
KDE	Several Frames (No Detection in Initiation)	Fusion	SGR Color	Density	Probability	FIFO
KNN	One Frame	Fusion	RGB Color	Density	L2 Distance	Random
PBAS	Several Frames (Detection in Initiation)	Bit-wise OR	Multi-feature Fusion (RGB Color & Gradient)	Features Value	L1 distance	Random
PCAWS	One Frame	Fusion	Multi-feature Fusion (RGB Color & LBSP)	Dictionary	L1 Distance	Random
Sigma-Delta	One Frame	Bit-wise OR	RGB Color	Temporal Standard Deviation	L1 Distance	Iterative
SOBS	Several Frames (Detection in Initiation)	Fusion	HSV Color	Neuronal Map	L2 Distance	Iterative
Texture	One Frame	Fusion	LBP	Histograms with Weights	Histogram Intersection	Hybrid (Selective & Iterative)
ViBe	One Frame	Fusion	RGB Color	Features Value	L1 Distance	Random