Estimation of Camera Parameters in Video Sequences with a Large Amount of Scene Motion

نویسندگان

  • Jurandy Almeida
  • Rodrigo Minetto
  • Tiago A. Almeida
  • Ricardo da S. Torres
  • Neucimar J. Leite
چکیده

Most of existing techniques to estimate camera motion is based on analysis of the optical flow. However, such methods can be inaccurate and/or inefficiently when applied in video sequences which have a large amount of motion or a large number of scene changes. In this paper, we present an approach to estimate camera motion based on analysis of local invariant features. Such features are robust across a substantial range of affine distortion. Experiments on synthesized video clips with a fully controlled environment show that our technique is more effective than the optical flow-based approaches for estimating camera motion with a large amount of scene motion. Keywordsvideo indexing; camera motion; local invariant features; affine model.

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تاریخ انتشار 2009