Year: 2010
Type: article
Abstract: The goal of this contribution is to present an application of discrete Morse theory \nto tracking features in image sequences. The proposed algorithm can be used for tracking \nmoving figures in a filmed scene, for tracking moving particles, as well as for detecting canals \nin a CT scan of the head, or similar features in other types of data. The underlying idea \nwhich is used is the parametric discrete Morse theory presented in [13], where an algorithm \nfor constructing the bifurcation diagram of a discrete family of discrete Morse functions was \ngiven. The original algorithm is improved here for the specific purpose of tracking features \nin images and other types of data, in order to produce more realistic results and eliminate \nirregularities which appear as a result of noise and excess details in the data.
Authors: Gregor Jerše, Neža Mramor Kosta
Institution: University of Ljubljana
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2502224307