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Feature Tracking of Objects in Underwater Video Sequences

by Working at The Institute of Doctors Engineers and Scientists - IDES on Sep 13, 2012

  • 729 views

Feature tracking is a key, underlying component in ...

Feature tracking is a key, underlying component in
many approaches to 3D reconstruction, detection, localization
and recognition of underwater objects. In this paper, we
proposed to adapt SIFT technique for feature tracking in
underwater video sequences. Over the past few years the
underwater vision is attracting researchers to investigate
suitable feature tracking techniques for underwater
applications. The researchers have developed many feature
tracking techniques such as KLT, SIFT, SURF etc., to track
the features in video sequence for general applications. The
literature survey reveals that there is no standard feature
tracker suitable for underwater environment. We proposed to
adapt SIFT technique for tracking features of objects in
underwater video sequence. The SIFT extracts features, which
are invariant to scale, rotation and affine transformations.
We have compared and evaluated SIFT with popular techniques
such as KLT and SURF on captured video sequence of
underwater objects. The experimental results shows that
adapted SIFT works well for underwater video sequence

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Feature Tracking of Objects in Underwater Video Sequences Feature Tracking of Objects in Underwater Video Sequences Document Transcript