Fast Lighting Independent Background Subtraction

  • Authors:

  • Yuri Ivanov;Aaron Bobick;John Liu

  • Affiliations:

  • MIT Media Laboratory, 20 Ames St, E15-368A, Cambridge, MA 02139, USA;Georgia Institute of Technology, College of Computing, 801 Atlantic Dr., Atlanta, GA 30332, USA;MIT Media Laboratory, 20 Ames St, E15-368A, Cambridge, MA 02139, USA

  • Venue:
  • International Journal of Computer Vision - Special issue on a special section on visual surveillance
  • Year:
  • 2000

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Abstract

This paper describes a simple method of fast background subtraction based upon disparity verification that is invariant to arbitrarily rapid run-time changes in illumination. Using two or more cameras, the method requires the off-line construction of disparity fields mapping the primary background images. At runtime, segmentation is performed by checking background image to each of the additional auxiliary color intensity values at corresponding pixels. If more than two cameras are available, more robust segmentation can be achieved and, in particular, the occlusion shadows can be generally eliminated as well. Because the method only assumes fixed background geometry, the technique allows for illumination variation at runtime. Since no disparity search is performed, the algorithm is easily implemented in real-time on conventional hardware.