DocumentCode
2608695
Title
Monitoring of natural scenes for feature extraction and tracking an independent component analysis (ICA) approach
Author
Durham, Jayson ; Torrez, William
Author_Institution
Signal Exploration & Inf. Manage. Div., Space & Naval Warfare Syst. Center, San Diego, CA, USA
fYear
2004
fDate
14-16 July 2004
Firstpage
2
Lastpage
3
Abstract
An independent component analysis (ICA) approach to monitoring of natural scenes empirically generates robust image features for localization and tracking of potentially-occluded targets. The ICA-based empirical model utilizes statistical techniques that assist analysts in characterizing the underlying criteria that enables such feature extraction. Thus, this approach provides a basis for analyzing how the empirically generated feature localization and tracking models and related algorithms to perform their function.
Keywords
blind source separation; feature extraction; feedforward neural nets; independent component analysis; multilayer perceptrons; natural scenes; tracking; blind signal separation; feature extraction; independent component analysis; multilayer feedforward neural networks; natural scenes monitoring; signal decomposition; statistical technique; tracking model; Distribution functions; Feature extraction; Independent component analysis; Information management; Layout; Monitoring; Neural networks; Neurons; Smoothing methods; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Measurement Systems and Applications, 2004. CIMSA. 2004 IEEE International Conference on
Print_ISBN
0-7803-8341-9
Type
conf
DOI
10.1109/CIMSA.2004.1397217
Filename
1397217
Link To Document