Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections
Recent work with radar-based detection systems has demonstrated its efficacy in identifying [10], classifying [6] [8] [2] humans and animals, and even recognizing gestures [5] in low-light environments and through walls, cases where conventional vision-based systems fail. Most previous research has...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139267 |
| _version_ | 1826212635051294720 |
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| author | Hiebert, Michael |
| author2 | Ouedraogo, Raoul |
| author_facet | Ouedraogo, Raoul Hiebert, Michael |
| author_sort | Hiebert, Michael |
| collection | MIT |
| description | Recent work with radar-based detection systems has demonstrated its efficacy in identifying [10], classifying [6] [8] [2] humans and animals, and even recognizing gestures [5] in low-light environments and through walls, cases where conventional vision-based systems fail. Most previous research has involved onsite (edge) gathering of data and offsite (non-edge) processing to produce detections, i.e. the experimental platforms have not been productionized nor tested live in applicable environments. Further, many of the proposed architectures rely on the specific motion paths of subjects to identify them. MIT Lincoln Laboratory’s (MITLL) Group 45 has designed a prototype portable radar system capable of producing similar radar data to that collected in the aforementioned research and then identifying individuals in-frame, solely based on vital-signs and regardless of motion. I propose a computational architecture which can incorporate some of the previous advances with tracking in computer vision to detect and identify individuals while operating on the edge under the compute and power constraints of the handheld radar system in which it will be embedded. |
| first_indexed | 2024-09-23T15:30:00Z |
| format | Thesis |
| id | mit-1721.1/139267 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:30:00Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1392672022-01-15T03:09:07Z Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections Hiebert, Michael Ouedraogo, Raoul Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Recent work with radar-based detection systems has demonstrated its efficacy in identifying [10], classifying [6] [8] [2] humans and animals, and even recognizing gestures [5] in low-light environments and through walls, cases where conventional vision-based systems fail. Most previous research has involved onsite (edge) gathering of data and offsite (non-edge) processing to produce detections, i.e. the experimental platforms have not been productionized nor tested live in applicable environments. Further, many of the proposed architectures rely on the specific motion paths of subjects to identify them. MIT Lincoln Laboratory’s (MITLL) Group 45 has designed a prototype portable radar system capable of producing similar radar data to that collected in the aforementioned research and then identifying individuals in-frame, solely based on vital-signs and regardless of motion. I propose a computational architecture which can incorporate some of the previous advances with tracking in computer vision to detect and identify individuals while operating on the edge under the compute and power constraints of the handheld radar system in which it will be embedded. M.Eng. 2022-01-14T15:00:28Z 2022-01-14T15:00:28Z 2021-06 2021-06-17T20:13:17.993Z Thesis https://hdl.handle.net/1721.1/139267 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Hiebert, Michael Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections |
| title | Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections |
| title_full | Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections |
| title_fullStr | Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections |
| title_full_unstemmed | Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections |
| title_short | Cross-Frame Association of Through-Wall Handheld-Radar-Based Detections |
| title_sort | cross frame association of through wall handheld radar based detections |
| url | https://hdl.handle.net/1721.1/139267 |
| work_keys_str_mv | AT hiebertmichael crossframeassociationofthroughwallhandheldradarbaseddetections |