Intelligent video surveillance system using dynamic saliency map and boosted Gaussian mixture model

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

Volumn 7064 LNCS, Issue PART 3, 2011, Pages 557-564

  Lee, Wono ^a   Lee, Giyoung ^a   Ban, Sang Woo ^b   Jung, Ilkyun ^c   Lee, Minho ^a  

^a Kyungpook National University   (South Korea)

^b Dongguk University   (South Korea)

^c Korea Electronic Technology Institute (KETI)   (South Korea)

Author keywords

AdaBoost; Dynamic saliency map; Gaussian mixture model; Object tracking; Video surveillance system

Indexed keywords

APPEARANCE MODELS; CAMERA SYSTEMS; GAUSSIAN MIXTURE MODEL; IMAGE TRANSLATION; INPUT FEATURES; INTELLIGENT VIDEO; INTELLIGENT VIDEO SURVEILLANCE; LIGHT CONDITIONS; MOVING OBJECTS; OBJECT DETECTION; OBJECT TRACKING; SALIENCY MAP; TRAFFIC SURVEILLANCE; VIDEO SURVEILLANCE SYSTEMS;

ADAPTIVE BOOSTING; DATA PROCESSING; DETECTOR CIRCUITS; FACE RECOGNITION; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MONITORING; OBJECT RECOGNITION; VIDEO CAMERAS;

SECURITY SYSTEMS;

EID: 81855198085     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24965-5_63     Document Type: Conference Paper

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