This is an old revision of the document!


Analysis of Motion Blurred Images

Isolating Motion and Color in a Motion Blurred Image (BMVC 2007)

Alessandro Giusti, Vincenzo Caglioti

Abstract

Photographic images of moving objects are often characterized by motion blur; analyzing motion blurred images is problematic since the moving object boundaries appear fuzzy and seamlessly blend with the background. In extreme cases, when the object motion is fast in relation to the exposure time, the blurred object image becomes an elongated, semitransparent smear. We consider a motion-blurred color image of an object moving over a still background: we introduce meaningful entities, the “alpha map” and the “color map”, which bear information about the object motion during the exposure, and its color and texture; we draw connections to the well-known alpha matting problem, providing an original interpretation in this context; we present an analytic technique for extracting the two maps under assumptions on the background and object colors, and explore the relaxation of these assumptions. We provide experimental results on both synthetic and real images, which confirm the correctness of our approach, and describe diverse application examples in fields spanning from 3D reconstruction to image/video enhancement.

Paper

Preprint PDF (appendix, poster).

Bibtex

@inproceedings{giusti2007isolating,
  title={Isolating Motion and Color in a Motion Blurred Image.},
  author={Giusti, Alessandro and Caglioti, Vincenzo},
  booktitle={Proc. of BMVC},
  year={2007}
}

Basic Video-Surveillance with Low Computational and Power Requirements Using Long-Exposure Frames (ACIVS 2008)

Abstract

Research in video surveillance is nowadays mainly directed towards improving reliability and gaining deeper levels of scene understanding. On the contrary, we take a di erent route and investigate a novel, unusual approach to a very simple surveillance task (activity detection) in scenarios where computational and energy resources are extremely limited, such as Camera Sensor Networks.

Our proposal is based on shooting long-exposure frames, each covering a long period of time, thus enabling the use of frame rates even one order of magnitude slower than usual, which reduces computational costs by a comparable factor; however, as exposure time is increased, moving objects appear more and more transparent, and eventually become invisible in longer exposures. We investigate the consequent tradeo ff, related algorithms and their experimental results with actual long-exposure images. Finally we discuss advantages (such as its intrinsic ability to deal with low-light conditions) and disadvantages of this approach.

Paper

Preprint PDF, Springer website.

Bibtex

@inproceedings{caglioti2008basic,
  title={Basic Video-Surveillance with Low Computational and Power Requirements Using Long-Exposure Frames},
  author={Caglioti, Vincenzo and Giusti, Alessandro},
  booktitle={Proc. of Advanced Concepts for Intelligent Vision Systems},
  pages={218--229},
  year={2008},
  organization={Springer}
}