Foreground detection by robust PCA solved via a linearized alternating direction method

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

Volumn 7324 LNCS, Issue PART 1, 2012, Pages 115-122

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

^a UNIVERSITÉ DE LA ROCHELLE   (France)

Author keywords

Foreground Detection; Linearized ADM; Robust PCA

Indexed keywords

ADAPTIVE PENALTY; ALTERNATING DIRECTION METHODS; CONVEX PROGRAMS; DATA SETS; FASTER CONVERGENCE; FOREGROUND DETECTION; FOREGROUND OBJECTS; LINEAR MAPPING; LOW RANK; MOVING OBJECTS; PRINCIPAL COMPONENTS ANALYSIS; REAL APPLICATIONS; ROBUST PCA; SUB-PROBLEMS;

CONVEX OPTIMIZATION; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

LINEARIZATION;

EID: 84864148498     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31295-3_14     Document Type: Conference Paper

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