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Table 2 Performance obtained by the algorithms on the databases. In bold the best precision, recall, and -score for any video.

From: An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes

  

EBS

MOG

SBA

SOBS

 

Pr

0.514

0.515

0.126

0.399

MIVIA1

Re

0.967

0.901

0.849

0.790

 

f

0.671

0.668

0.220

0.530

 

Pr

0.836

0.571

0.149

0.305

MIVIA2

Re

0.723

0.814

0.903

0.754

 

f

0.775

0.671

0.256

0.434

 

Pr

0.791

0.583

0.164

0.183

MIVIA3

Re

0.428

0.720

0.271

0.665

 

f

0.555

0.644

0.204

0.288

 

Pr

0.745

0.620

0.351

0.579

PETS2006

Re

0.756

0.666

0.801

0.585

 

f

0.750

0.642

0.488

0.582

 

Pr

0.711

0.734

0.598

0.713

PETS2009-1

Re

0.848

0.772

0.699

0.702

 

f

0.773

0.753

0.644

0.707

 

Pr

0.780

0.772

0.690

0.726

PETS2009-2

Re

0.862

0.871

0.716

0.804

 

f

0.819

0.818

0.702

0.763

 

Pr

0.901

0.399

0.764

0.779

MSA

Re

0.793

0.748

0.091

0.935

 

f

0.844

0.520

0.163

0.850