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Exploiting multiple cues in motion segmentation based on background subtraction

Autor
Huerta, I.; Amato, A.; Roca, F.; González, J.
Tipus d'activitat
Article en revista
Revista
Neurocomputing
Data de publicació
2013
Volum
100
Pàgina inicial
183
Pàgina final
196
DOI
https://doi.org/10.1016/j.neucom.2011.10.036 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/17494 Obrir en finestra nova
URL
http://dx.doi.org/10.1016/j.neucom.2011.10.036 Obrir en finestra nova
Resum
This paper presents a novel algorithm for mobile-object segmentation from static background scenes, which is both robust and accurate under most of the common problems found in motion segmentation. In our first contribution, a case analysis of motion segmentation errors is presented taking into account the inaccuracies associated with different cues, namely colour, edge and intensity. Our second contribution is an hybrid architecture which copes with the main issues observed in the case analysis...
Citació
Huerta, I. [et al.]. Exploiting multiple cues in motion segmentation based on background subtraction. "Neurocomputing", 2013, vol. 100, p. 183-196.

Participants

  • Huerta Casado, Ivan  (autor)
  • Amato, Ariel  (autor)
  • Roca Marva, Francesc Xavier  (autor)
  • González Sabaté, Jordi  (autor)