Evaluation of LBP and HOG Descriptors for Clothing Attribute Description

In this work an experimental study about the capability of the LBP, HOG descriptors and color for clothing attribute classication is presented. Two dierent variants of the LBP descriptor are considered,
the original LBP and the uniform LBP. Two classiers, Linear SVM and Random Forest, have been included in the comparison because they have been frequently used in clothing attributes classication. The
experiments are carried out with a public available dataset, the clothing attribute dataset, that has 26 attributes in total. The obtained accuracies are over 75% in most cases, reaching 80% for the necktie or sleeve length
attributes.