An Attention Based Method For Motion Detection And Estimation

Autor/innen

  • Shijie Zhang
  • Fred Stentiford

DOI:

https://doi.org/10.2390/biecoll-icvs2007-149

Schlagworte:

visual attention, motion detection, motion estimation, object tracking, DDC: 004 (Data processing, computer science, computer systems)

Abstract

The demand for automated motion detection and object tracking systems has promoted considerable research activity in the field of computer vision. A novel approach to motion detection and estimation based on visual attention is proposed in the paper. Two different thresholding techniques are applied and comparisons are made with Black's motion estimation technique based on the measure of overall derived tracking angle. The method is illustrated on various video data and results show that the new method can extract both motion and shape information.

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Veröffentlicht

2007-12-31

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Rubrik

ICVS Workshop on Computational Attention & Applications - WCAA 2007