Change detection through subspace projection using independent component analysis to track moving targets in scenery

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2001, Pages 703-708

  Noe, B J ^a   Ham, F M ^a  

^a FLORIDA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS; KALMAN FILTERING; MATHEMATICAL MODELS; RADAR TRACKING; SYNTHETIC APERTURE RADAR; VIDEO CAMERAS;

CHANGE DETECTION; IMAGE SUBSPACE PROJECTION;

RADAR IMAGING;

EID: 0034850561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Tracking of moving targets in scenery by subspace projection using independent component analysis
2. Variable structure interacting multiple model filter (VS-IMM) for tracking targets with transportation network constraints
3. Infrasound signal separation using independent component analysis
4. Separation of infrasonic source signals using independent component analysis
5. Separation of infrasound signals using independent component analysis
6. Emergence of topography and complex cell properties from natural images using extensions of ICA
7. Fast and robust fixed-point algorithms for independent component analysis
8. A fast fixed-point algorithm for independent component analysis
9. The fixed-point algorithm and maximum likelihood estimation for independent component analysis