Paper Info
Title
Detection and localization of objects in Passive Millimeter Wave Images.
Abstract
Passive Millimeter Wave Images (PMMWI) can be used to detect and localize objects concealed under clothing. Unfortunately, the quality of the acquired images and the unknown position, shape, and size of the hidden objects render difficult this task. In this paper we propose a method that combines image processing and statistical machine learning techniques to solve this localization/detection problem. The proposed approach is used on an image database containing a broad variety of sizes, types, and localizations of hidden objects. Experiments are presented in terms of the true positive and false positive detection rates. Due to its high performance and low computational cost, the proposed method can be used in real time applications.
Year
Venue
Keywords
2016
European Signal Processing Conference
Millimeter wave imaging,object detection,machine learning,image processing,security
Field
DocType
ISSN
Computer vision,Signal processing,Extremely high frequency,Computer science,Support vector machine,Image processing,Feature extraction,Radio frequency,Artificial intelligence,Image database
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Santiago Lopez Tapia181.48
Rafael Molina21439103.16
Nicolas Perez de la Blanca331433.17