Exposure Fusion for Concealed Weapon Detection

In recent years there has been a need to improvise the security of the general public as well as the safety of public assets like airports and buildings for which, the biggest hurdle is detection of weapons concealed underneath a person's clothing. It is desirable sometimes to be able to detect concealed weapons from a standoff distance, especially when it is impossible to arrange the flow of people through a controlled procedure. Therefore, we propose a novel algorithm to generate one multi exposed - multi modal image from a set of visual images with multiple exposures and a set of infrared images with multiple exposures. The method employs homomorphic filter, entropy of blocks and blending approach for image fusion. Experiments were performed on different sets of multi exposed images by varying the block size and the blending parameter which shows that the proposed method outperforms the results obtained without homomorphic filter.