Foreground detection via robust low rank matrix decomposition including spatio-temporal constraint

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7728 LNCS, Issue PART 1, 2013, Pages 315-320

  Guyon, Charles ^a   Bouwmans, Thierry ^a   Zahzah, El Hadi ^a  

^a UNIVERSITÉ DE LA ROCHELLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

FOREGROUND DETECTION; FOREGROUND OBJECTS; ITERATIVELY REWEIGHTED LEAST SQUARES; LOW-RANK MATRICES; MOVING OBJECTS; ROBUST PRINCIPAL COMPONENTS; SPATIO-TEMPORAL CONSTRAINTS; VIDEO SURVEILLANCE SYSTEMS;

DETECTOR CIRCUITS; SECURITY SYSTEMS; STATISTICS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84875984813     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37410-4_28     Document Type: Conference Paper

References (3)

1. Candes, E., Li, X., Ma, Y., Wright, J.: Robust principal component analysis? International Journal of ACM 58 (2011)
2. Osborne, M.R.: Finite algorithms in optimization and data analysis. John Wiley & Sons (1985)
3. Guyon, C., Bouwmans., T., Zahzah, E.: Foreground detection via robust low rank matrix factorization including spatial constraint with iterative reweighted regression. In: International Conference on Pattern Recognition, ICPR 2012 (2012)