Abstract
Reconstruction-free compressive vision depends heavily on existing work in the fields of traditional image and video processing, and on recent advances in machine learning and computer vision. The line between image processing and computer vision is sometimes difficult to define, as the image processing community adopts machine learning and artificial intelligence approaches to the problems of the field. However, an overview of all of computer vision and image processing is out of scope for this book, and we refer the readers to more comprehensive references for computer vision [89] and image processing [90]. In this chapter, we focus on surveillance applications, particularly tools related to classification, detection, and tracking that we will utilize in the subsequent chapter for their compressive analogs.
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