Strategies

Several strategies can be used to improve the robustness of a background model to the challenges met in video-surveillance. It is important to note that these strategies can be generally applied with any background models. These strategies can be classified as follows:

Multiple Strategies (124 papers)

Map Strategies (2 papers)

Hierarchical Strategies (9 papers)

Coarse to Fine Strategies (3 papers)

Downsizing Strategies (3 papers)

Compositional Strategies (1 paper)

Consensus Strategies (3 papers)

Markov Random Fields (9 papers)

Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. Rochelle, France.

Fair Use Policy

As this website gives many information that come from my research, please cite at least my following survey paper:

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.

Note: My publications are available on Academia, Research Gate, Researchr, ORCID and Publication List.