Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues

Cognitive Computation

Volumn 3, Issue 1, 2011, Pages 146-166

  Gepperth, Alexander R T ^a   Rebhan, Sven ^a   Hasler, Stephan ^a   Fritsch, Jannik ^a  

^a HONDA RESEARCH INSTITUTE EUROPE GMBH   (Germany)

Author keywords

Object detection; Statistical Learning; Visual attention

Indexed keywords

AUTONOMOUS LEARNING; BI-DIRECTIONAL; BIASED COMPETITION; DATA FLOW; DATA SETS; FEATURE-BASED; IMAGE REGIONS; LEARNING APPROACH; MODULATION SIGNALS; MULTIMODAL MODELS; OBJECT DETECTION; OBJECT DETECTION ALGORITHMS; OBJECT IDENTITY; PROCESSING RESOURCES; SELECTION MECHANISM; SELECTION PROCESS; STATISTICAL LEARNING; SYSTEM LEVELS; TASK-DRIVEN; TOPDOWN; TRAFFIC VIDEOS; VIDEO IMAGE; VISUAL ATTENTION; VISUAL-PROCESSING;

DATA FLOW ANALYSIS; DATA TRANSFER; FEATURE EXTRACTION; HIERARCHICAL SYSTEMS; MODULATION; OBJECT RECOGNITION;

SIGNAL DETECTION;

EID: 79952817050     PISSN: 18669956     EISSN: 18669964     Source Type: Journal    
DOI: 10.1007/s12559-010-9092-x     Document Type: Article

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