On statistical approaches to target silhouette classification in difficult conditions

Digital Signal Processing: A Review Journal

Volumn 18, Issue 3, 2008, Pages 375-390

  Sanderson, Conrad ^a,b   Gibbins, Danny ^c   Searle, Stephen ^d  

^a CSIRO   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c UNIVERSITY OF ADELAIDE   (Australia)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Adverse conditions; Automatic target recognition; Local features; Object parts; Silhouette classification; Statistical models

Indexed keywords

AUTOMATIC TARGET RECOGNITION; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; IMAGE CLASSIFICATION; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

LOCAL FEATURES; OBJECT PARTS; SILHOUETTE CLASSIFICATION; STATISTICAL MODELS;

STATISTICAL METHODS;

EID: 42949162470     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2007.05.008     Document Type: Article

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