Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems
We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at...
Sábháilte in:
| Príomhchruthaitheoir: | |
|---|---|
| Formáid: | Online |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
KIT Scientific Publishing
2021
|
| Ábhair: | |
| Rochtain ar líne: | 35413 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
|
| _version_ | 1869514282438230016 |
|---|---|
| author | Faion, Florian |
| author_browse | Faion, Florian |
| author_facet | Faion, Florian |
| author_sort | Faion, Florian |
| collection | Directory of Open Access Books |
| description | We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at a given time. We propose an approach to track the parameters of arbitrary objects, which provides new solutions to the above challenges, and marks a significant advance to the state of the art. |
| format | Online |
| id | doab-20.500.12854ir-61100 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-611002024-04-09T23:16:18Z Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems Faion, Florian T1-995 Tracking Bayesschätzer Microsoft Kinect Formschätzung Partial LikelihoodTracking Bayesian Estimation Microsoft Kinect Shape Fitting Partial Likelihood thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at a given time. We propose an approach to track the parameters of arbitrary objects, which provides new solutions to the above challenges, and marks a significant advance to the state of the art. 2021-02-12T06:13:43Z 2021-02-12T06:13:43Z 2019-07-30 20:02:01 2016 book 35413 18673813 9783731505174 https://directory.doabooks.org/handle/20.500.12854/61100 eng Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731505174 KIT Scientific Publishing 10.5445/KSP/1000054248 10.5445/KSP/1000054248 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731505174 XV, 197 p. open access |
| spellingShingle | T1-995 Tracking Bayesschätzer Microsoft Kinect Formschätzung Partial LikelihoodTracking Bayesian Estimation Microsoft Kinect Shape Fitting Partial Likelihood thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Faion, Florian Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems |
| title | Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems |
| title_full | Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems |
| title_fullStr | Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems |
| title_full_unstemmed | Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems |
| title_short | Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems |
| title_sort | tracking extended objects in noisy point clouds with application in telepresence systems |
| topic | T1-995 Tracking Bayesschätzer Microsoft Kinect Formschätzung Partial LikelihoodTracking Bayesian Estimation Microsoft Kinect Shape Fitting Partial Likelihood thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | T1-995 Tracking Bayesschätzer Microsoft Kinect Formschätzung Partial LikelihoodTracking Bayesian Estimation Microsoft Kinect Shape Fitting Partial Likelihood thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | 35413 |
| work_keys_str_mv | AT faionflorian trackingextendedobjectsinnoisypointcloudswithapplicationintelepresencesystems |