New Fuzzy Texture Features for Robust Detection of Moving Objects

Robust detection of moving objects in presence of dynamic backgrounds is yet a challenging problem. In this letter, we propose a fuzzy membership transformation to be applied on the co-occurrence vector to derive a rich fuzzy transformed co-occurrence vector with shared membership values in a reduced dimensionality vector space. Fuzzy statistical texture features, derived from this fuzzy transformed co-occurrence vector, are able to improve the robustness in detecting moving objects, as compared to the traditional statistical texture features and other contemporary moving object segmentation approaches.