Analysis of Robust Background Modeling Techniques for Different Information Levels
Zhi Wang · 2009
Background modeling is a critical element of detecting and tracking moving objects,and the robustness problem of the background model attracts more and more attention.Firstly,the requirements for robustness are analyzed by taking two aspects into account:different applications/environments and different modalities of sampling sets.Then,a review of current background modeling algorithms and systems is presented according to their information levels and performance.After analyzing these algorithms and comparing typical background modeling systems,several promising directions of background modeling are pointed out for future research.