Supervised-PCA and SVM classifiers for object detection in infrared images

Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003

Volumn , Issue , 2003, Pages 122-127

  Santiago Mozos, R ^a   Leiva Murillo, J M ^a   Perez Cruz F ^a   Artes Rodriguez A ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Combustion; Feature extraction; Infrared detectors; Infrared imaging; Object detection; Pixel; Principal component analysis; Support vector machine classification; Support vector machines; Surveillance

Indexed keywords

COMBUSTION; FEATURE EXTRACTION; IMAGE PROCESSING; INFRARED DETECTORS; INFRARED IMAGING; INFRARED RADIATION; MONITORING; OBJECT DETECTION; OBJECT RECOGNITION; PIXELS; SECURITY SYSTEMS; SIGNAL DETECTION; SPACE SURVEILLANCE; SUPPORT VECTOR MACHINES; THERMOGRAPHY (IMAGING);

HIGH DEFINITION; MEDIUM WAVELENGTH INFRARED; MULTI-SPECTRAL; NONLINEAR VERSIONS; NOVELTY DETECTION; STATE-OF-THE-ART METHODS; SUPPORT VECTOR MACHINE CLASSIFICATION; SVM CLASSIFIERS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84945179308     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2003.1217911     Document Type: Conference Paper

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