Implementation and optimization of wavelet and symmetry features for vision-based pedestrian detection

Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007

Volumn , Issue , 2007, Pages 19-24

  Schauland, Sam ^a   Kummert, Anton ^a  

^a UNIVERSITY OF WUPPERTAL   (Germany)

Author keywords

Applications; Classification; F measure; Feature extraction; Pattern recognition; Pedestrian detection; Support vector machines; Wavelet features

Indexed keywords

AUTOMOBILE PARTS AND EQUIPMENT; CLASSIFIERS; COLOR IMAGE PROCESSING; LEARNING SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION; PHOTOGRAPHY; SUPPORT VECTOR MACHINES; VIDEO RECORDING; VISUALIZATION;

CLASSIFICATION; EDGE DENSITIES; F-MEASURE; FALSE NEGATIVES; IMAGE MASKS; IMPLEMENTATION AND OPTIMIZATIONS; MONOCHROME IMAGES; OPTIMIZATION APPROACHES; PEDESTRIAN DETECTION; PEDESTRIAN DETECTION SYSTEMS; PEDESTRIAN DETECTIONS; STATISTICAL MEASURES; SYMMETRY FEATURES; URBAN TRAFFICS; VIDEO SEQUENCES; VISION-BASED; WAVELET FEATURES;

FEATURE EXTRACTION;

EID: 45949091846     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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