Abstract
In earlier chapters, we present various feature points for different perspectives. However, one key concern is to track these points from one frame to another or on image sequences. This section analyzes frame-to-frame feature point detection and tracking algorithms due to their importance in action understanding. In order to reconstruct a 3D structure from image sequences we have to track feature points on the sequence.
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© 2011 Atlantis Press
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Ahad, M.A.R. (2011). Shape Representation and Feature Vector Analysis. In: Computer Vision and Action Recognition. Atlantis Ambient and Pervasive Intelligence, vol 5. Atlantis Press. https://doi.org/10.2991/978-94-91216-20-6_5
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DOI: https://doi.org/10.2991/978-94-91216-20-6_5
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