Hyperspectral video for illumination-invariant tracking

Amit Banerjee, Philippe Burlina, Joshua Broadwater

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent advances in electronics and sensor design have enabled the development of a hyperspectral video camera, which can capture hyperspectral datacubes at near video rates. In this work, we show how high-speed hyperspectral imaging can be used to address several challenging problems in video surveillance. In particular, we combine traditional methods for hyperspectral image analysis and computer vision to achieve illumination- invariant motion detection and object tracking. Experiments using real hyperspectral video images are provided.

Original languageEnglish (US)
Title of host publicationWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing
DOIs
StatePublished - Dec 21 2009
EventWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - Grenoble, France
Duration: Aug 26 2009Aug 28 2009

Publication series

NameWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

Other

OtherWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
CountryFrance
CityGrenoble
Period8/26/098/28/09

Keywords

  • Deshadowing
  • Hyperspectral video
  • Illumination invariant analysis
  • Motion detection
  • Tracking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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