Shape-based human activity recognition using independent component analysis and hidden markov model

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

Volumn 5027 LNAI, Issue , 2008, Pages 245-254

  Uddin, Md Zia ^a   Lee, J J ^a   Kim, T S ^a  

^a Kyung Hee University   (South Korea)

Author keywords

HMM; ICA; K means; LBG; PCA

Indexed keywords

ARTIFICIAL INTELLIGENCE; GESTURE RECOGNITION; HIDDEN MARKOV MODELS; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; LEARNING SYSTEMS; MARKOV PROCESSES; MULTIVARIANT ANALYSIS; OBJECT RECOGNITION; SENSOR NETWORKS; TECHNOLOGY;

CONVENTIONAL METHODS; FEATURE VECTORS; HIDDEN MARKOV MODELING; HIDDEN-MARKOV MODEL; HMM; HUMAN ACTIVITY RECOGNITION; ICA; IMAGE SEQUENCING; INDEPENDENT COMPONENT ANALYSIS (ICA); INDEPENDENT COMPONENTS; INTERNATIONAL CONFERENCES; K-MEANS; LBG; PCA; PRINCIPLE COMPONENT ANALYSIS; RECOGNITION PERFORMANCE; SHAPE FEATURES; SHAPE INFORMATION; VIDEO IMAGING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 48249155789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69052-8_26     Document Type: Conference Paper

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