Background modeling from surveillance video using rank minimization

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

Volumn 7530 LNAI, Issue , 2012, Pages 769-774

  Yang, Min ^a  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Augmented Lagrange multipliers; Background modeling; l1 norm minimization; Low rank representation; Nuclear norm minimization

Indexed keywords

BACKGROUND IMAGE; BACKGROUND MODELING; GAUSSIAN MIXTURE MODEL; INTELLIGENT VIDEO SURVEILLANCE; L1 NORM; LAGRANGE MULTIPLIER METHOD; LOW RANK; LOW-RANK REPRESENTATION; NONCONVEX PROBLEM; POTENTIAL APPLICATIONS; SURVEILLANCE VIDEO; VIDEO FRAME;

ARTIFICIAL INTELLIGENCE; CONVEX OPTIMIZATION; LAGRANGE MULTIPLIERS; MODELS; OBJECT RECOGNITION;

SECURITY SYSTEMS;

EID: 84868226480     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33478-8_95     Document Type: Conference Paper

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