An experimental evaluation of local features for pedestrian classification

Proceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007

Volumn , Issue , 2007, Pages 53-60

  Paisitkriangkrai, Sakrapee ^a,b   Shen, Chunhua ^a,c   Zhang, Jian ^a,b  

^a CSIRO   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION APPLICATIONS; DATA SETS; DIGITAL IMAGE COMPUTING; EXPERIMENTAL EVALUATIONS; EXPERIMENTAL RESULTS; EXPERIMENTAL STUDIES; FEATURE DESCRIPTORS; LOCAL FEATURES; PEDESTRIAN CLASSIFICATION; PEDESTRIAN DETECTION; RADIAL-BASIS FUNCTION (RBF); RECEPTIVE FIELDS (RF); SUPPORT VECTOR MACHINE (SVM) CLASSIFIERS; VIDEO SURVEILLANCE;

ARTIFICIAL INTELLIGENCE; BENCHMARKING; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; COMPUTER VISION; EXTRACTION; FEEDFORWARD NEURAL NETWORKS; IMAGE PROCESSING; IMAGING TECHNIQUES; MEDICAL IMAGING; MICROFLUIDICS; PATTERN RECOGNITION; QUADRATIC PROGRAMMING; RADIAL BASIS FUNCTION NETWORKS; SECURITY SYSTEMS; SOLVENT EXTRACTION; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 44949130013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2007.4426775     Document Type: Conference Paper

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