A biologically inspired visual pedestrian detection system

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 703-709

  Tivive, Fok Hing Chi ^a   Bouzerdoum, Abdesselam ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; FEATURE EXTRACTION; LEARNING SYSTEMS; NETWORK ARCHITECTURE; SENSOR NETWORKS; SIGNAL DETECTION; SUPPORT VECTOR MACHINES; VEGETATION;

ADABOOST; BENCHMARK DATABASES; BIOLOGICALLY INSPIRED; BIOLOGICALLY INSPIRED METHODS; CONVOLUTIONAL NEURAL NETWORKS; DAIMLERCHRYSLER; DERIVATIVE FILTERS; FEATURE DETECTORS; FEATURE EXTRACTION AND CLASSIFICATIONS; GRADIENT INFORMATIONS; PATTERN CLASSIFIERS; PEDESTRIAN CLASSIFICATIONS; PEDESTRIAN DETECTION SYSTEMS; PROCESSING LAYERS; SUPPORT VECTORS;

NEURAL NETWORKS;

EID: 56349151344     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4633872     Document Type: Conference Paper

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