Detection of multi‐people micro‐motions based on range–velocity–time points. Issue 23 (1st November 2019)

• Record Type: Journal Article
• Authors: Du, Hao; Jin, Tian; Li, Meng; Song, Yongping; Dai, Yongpeng
• Is Part Of: Electronics letters. Volume 55:Issue 23(2019)
• Page Start: 1247
• Page End: 1249
• Publication Date: 2019-11-01
• Subjects: radar imaging -- ultra wideband radar -- image motion analysis -- Doppler radar -- object detection -- image classification; microDoppler effect -- single moving target -- multimover micromotions -- microDoppler signatures -- human behaviours -- multipeople motion simulation; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2019.2419
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : The micro‐Doppler effect is a useful signature for classifying various human behaviours. However, most micro‐Doppler researches assume that only a single moving target exists during the observation. Their works lack in separating micro‐motion features from multi‐movers. When more than one target is present, their performance will deteriorate heavily. To address this issue, the authors design a new 3D (three‐dimensional) model, range–velocity–time points, to separate and describe multi‐mover micro‐motions measured by the ultra‐wideband radar. These 3D points contain the range–velocity–time information simultaneously. By dividing points in the 3D space instead of single Doppler domain, micro‐Doppler signatures of each target can be separated effectively. Multi‐people motion simulation results verify the effectiveness of the authors' method.