There are several features that are used in the literature and they can be classified in the following categories:
1. Features in the Pixel Domain (360 papers)
1.1. Crisp Features (302 papers)
Intensity features (39 papers)
Color features (18 papers).
Color Features in Designed Shape Color Spaces (13 papers)
Color Filter Array (CFA) Features (1 paper)
Statistics on Color Features (10 papers)
Edge features (23 papers)
Texture features (145 papers)
Motion features (2 papers)
Stereo features (45 papers)
1.2. Statistical Features (26 papers)
Histograms : Histogram of intensity (1 paper), Histograms of color space (HC) (9 papers), Histograms of Gradient (HG) (7 papers), Histograms of Figure/Ground Segmentation (HFG) (1 paper)
Correlograms
Entropy (4 papers)
Statistical Reach Feature (2 papers)
Statistical Texture (2 papers)
1.3. Fuzzy Features (16 papers)
Local Fuzzy Color Histograms (LFCH) (6 papers)
Local Fuzzy Color Difference Histograms (LFCDH) (1 paper)
Fuzzy Histon (FH) (3 papers)
Fuzzy Correlogram (FC) (2 papers)
Fuzzy Statistical Texture (FST) (3 papers)
Fuzzy Local Binary Pattern (FLBP) (1 paper)
1.4. Other Features (16 papers)
Frequency Features (2 paperq)
Phase Features (5 papers)
Spatial Features (1 paper)
Location Features (7 papers)
Bit Plane Features (1 paper)
2. Features in a Transform Domain (32 papers)
Frequency Features (21 papers)
Video Features (11 papers)
3. Features in Deep Learning Domain (21 papers)
Deep Learned Features (21 papers)
Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. Rochelle, France.
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As this website gives many information that come from my research, please cite my following survey papers:
T. Bouwmans, “Traditional and Recent Approaches in Background Modeling for Foreground Detection: An Overview”, Computer Science Review, 2014. [pdf]
T. Bouwmans, E. Zahzah, “Robust PCA via Principal Component Pursuit: A Review for a Comparative Evaluation in Video Surveillance”, Special Issue on Background Models Challenge, Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 22–34, May 2014. [pdf]
T. Bouwmans, "Recent Advanced Statistical Background Modeling for Foreground Detection: A Systematic Survey", Recent Patents on Computer Science, Volume 4, No. 3, pages147-176, September 2011. [pdf]
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