Tracking Hidden Objects Using Stochastic Probing
Keywords
And statistics; Coherence and statistical optics; Optical sensing and sensors; Pattern recognition; Probability theory; Statistical optics; Stochastic processes; Target tracking
Abstract
Tracking trajectories of objects is conventionally achieved by direct beam probing or by sequential imaging of the target during its evolution. However, these strategies fail quickly when the direct line of sight is inhibited. Here, we propose and experimentally demonstrate real-time tracking of objects, which are completely surrounded by scattering media that practically conceal the objects. We show that full 3D motion can be effectively encoded in the statistical properties of spatially diffused but temporally coherent radiation. The method relies on measurements of integrated scattered intensity performed anywhere outside the disturbance region, which renders flexibility for different sensing scenarios as well as low-light capabilities.
Publication Date
4-20-2017
Publication Title
Optica
Volume
4
Issue
4
Number of Pages
447-453
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/OPTICA.4.000447
Copyright Status
Unknown
Socpus ID
85019082399 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85019082399
STARS Citation
Akhlaghi, Milad I. and Dogariu, Aristide, "Tracking Hidden Objects Using Stochastic Probing" (2017). Scopus Export 2015-2019. 5881.
https://stars.library.ucf.edu/scopus2015/5881