ScholarGate
Asistent
Machine learningVideo segmentation

Obrada pozadine

Obrada pozadine (engl. Background subtraction) tehnika je video obrade koja odvaja pokretne predmete u prvom planu od statične ili sporo mijenjajuće pozadine uspoređujući svaki kadar s naučenim ili procijenjenim modelom pozadine. Široko primjenjivana u video nadzoru i detekciji pokreta, obrada pozadine omogućuje robusnu detekciju prvog plana čak i u složenim scenama s promjenama osvjetljenja.

Otvorite u MethodMindUskoroVideoUskoroDownload slides

Pročitajte cijelu metodu

Samo za članove

Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.

Prijavite se

Method map

The neighbourhood of related methods — select a node to explore.

Izvori

  1. Stauffer, C., & Grimson, W. E. L. (1999). Adaptive background mixture models for real-time tracking. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 246–252. DOI: 10.1109/CVPR.1999.784637
  2. KaewTraKulPong, P., & Bowden, R. (2002). An improved adaptive background mixture model for real-time tracking with shadow detection. Proceedings of the European Conference on Computer Vision (ECCV), 135–144. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Background Subtraction for Foreground Detection. ScholarGate. https://scholargate.app/hr/computer-vision/background-subtraction

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateBackground Subtraction (Background Subtraction for Foreground Detection). Preuzeto 2026-06-15 s https://scholargate.app/hr/computer-vision/background-subtraction · Skup podataka: https://doi.org/10.5281/zenodo.20539026