Motion Analysis with Application to Assistive Vision Technology

  • Authors:
  • S. K. Makrogiannis;N. G. Bourbakis

  • Affiliations:
  • Wright State University;Wright State University

  • Venue:
  • ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
  • Year:
  • 2004

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Abstract

The analysis of motion in image sequences represents a popular and constantly growing research field. In this paper a motion analysis scheme is proposed to function as an assistive vision technology tool. The first stage of this methodology includes a video stabilization scheme as a pre-processing stage. In the next stage a non-linear spatio-temporal diffusion approach is applied and a kernel based density estimation method follows to assess the motion activity. This overall process is completed by watershed-based segmentation to detect the moving areas. The presented experimental results indicate the efficiency of this scheme in detecting and segmenting the moving areas.