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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Multi-focus and Multi-exposure based Color Image Fusion for Concealed Weapon Detection
verfasst von : Ekta M. Upadhyay, N. K. Rana
Erschienen in: Intelligent Computing and Applications
Verlag: Springer India
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Abstract
The detection of weapons hidden underneath a person’s clothes is of prime importance for security of the public and also safety of public areas such as railway stations, malls, and airports. The screening procedures done manually give inaccurate results when the object is far away from the security personnel and when in a crowded area. The aim was to use a RGB visual image and a corresponding IR image and make a new algorithm for such an application with the help of fusion techniques. This involves not only detecting the weapon correctly, but also retaining the information of the original visual image as much as possible. Thus, using multi-exposure, multi-focus, and DWT fusion techniques, we propose an algorithm to retain the visual as well as the information regarding the weapon in our final output. We may also add that this will also help strengthen evidences against the ‘accused’ since he/she can be indisputably recognized with the help of the obtained output.