Superimposed video disambiguation for increased field of view.

Published

Journal Article

Many infrared optical systems in wide-ranging applications such as surveillance and security frequently require large fields of view (FOVs). Often this necessitates a focal plane array (FPA) with a large number of pixels, which, in general, is very expensive. In a previous paper, we proposed a method for increasing the FOV without increasing the pixel resolution of the FPA by superimposing multiple sub-images within a static scene and disambiguating the observed data to reconstruct the original scene. This technique, in effect, allows each sub-image of the scene to share a single FPA, thereby increasing the FOV without compromising resolution. In this paper, we demonstrate the increase of FOVs in a realistic setting by physically generating a superimposed video from a single scene using an optical system employing a beamsplitter and a movable mirror. Without prior knowledge of the contents of the scene, we are able to disambiguate the two sub-images, successfully capturing both large-scale features and fine details in each sub-image. We improve upon our previous reconstruction approach by allowing each sub-image to have slowly changing components, carefully exploiting correlations between sequential video frames to achieve small mean errors and to reduce run times. We show the effectiveness of this improved approach by reconstructing the constituent images of a surveillance camera video.

Full Text

Duke Authors

Cited Authors

  • Marcia, RF; Kim, C; Eldeniz, C; Kim, J; Brady, DJ; Willett, RM

Published Date

  • October 13, 2008

Published In

Volume / Issue

  • 16 / 21

Start / End Page

  • 16352 - 16363

PubMed ID

  • 18852741

Pubmed Central ID

  • 18852741

Electronic International Standard Serial Number (EISSN)

  • 1094-4087

Language

  • eng

Conference Location

  • United States