Detection And Localization Of Objects In Passive Millimeter Wave Images

Passive Millimeter Wave Images (PMMWI) can be used to detect and localize objects concealed under clothing. Unfortunately, the quality of the acquired images and the unknown position, shape, and size of the hidden objects render difficult this task. In this paper we propose a method that combines image processing and statistical machine learning techniques to solve this localization/detection problem. The proposed approach is used on an image database containing a broad variety of sizes, types, and localizations of hidden objects. Experiments are presented in terms of the true positive and false positive detection rates. Due to its high performance and low computational cost, the proposed method can be used in real time applications.