Remote in‐building motion detection using single frequency technique. Issue 15 (1st July 2017)

• Record Type: Journal Article
• Authors: Bonjour, R.; Welschen, S.; Leuchtmann, P.; Wellig, P.; Leuthold, J.
• Is Part Of: Electronics letters. Volume 53:Issue 15(2017)
• Page Start: 997
• Page End: 1001
• Publication Date: 2017-07-01
• Subjects: image fusion -- image segmentation -- learning (artificial intelligence) -- statistical analysis -- real‐time systems; enhanced decision fusion -- semantically segmented images -- local majority saliency map -- ensemble machine learning schemes -- voting algorithm -- statistical perspective -- decision redundancy -- real‐time systems -- uncertainty challenges -- saliency map generation -- local majority filter -- pixel labelling -- random decision forest model -- intermediate labelled images -- voting pool; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.1367
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A new method for simple and robust in‐building motion detection is introduced. The proposed technique relies on a single frequency continuous wave (CW) signal and can therefore be integrated with inexpensive commercial off‐the‐shelf (COTS) components.