Abstract

Image fusion can be performed on dynamic images along with the static images. Here, static is referred to images captured from the static platform. For example, multi-focus and remote sensing image fusion assumes source images as static. However, in real-time surveillance applications, dynamic image sequences have to be fused. Here, dynamic refers to images captured from the moving platform. In this chapter, a detailed discussion on dynamic image fusion is presented. In addition, new dynamic image fusion algorithms are also introduced. They are an image fusion algorithm based on region target detection, an improved dynamic image fusion algorithm, a new FOD recognition algorithm based on multi-source information fusion, a multi-cue mean-shift target tracking approach based on fuzzified region dynamic image fusion, and a new tracking approach based on tracking-before-fusion.

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