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...
Saved in:
| Superior document: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory |
|---|---|
| : | |
| Year of Publication: | 2016 |
| Language: | English |
| Series: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
|
| Physical Description: | 1 electronic resource (XV, 197 p. p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01650nam-a2200289z--4500 | ||
|---|---|---|---|
| 001 | 993548264004498 | ||
| 005 | 20231214132829.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202102s2016 xx |||||o ||| 0|eng d | ||
| 020 | |a 1000054248 | ||
| 035 | |a (CKB)4920000000100805 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/61100 | ||
| 035 | |a (EXLCZ)994920000000100805 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Faion, Florian |4 auth | |
| 245 | 1 | 0 | |a Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems |
| 260 | |b KIT Scientific Publishing |c 2016 | ||
| 300 | |a 1 electronic resource (XV, 197 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory | |
| 520 | |a 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. | ||
| 546 | |a English | ||
| 653 | |a Tracking Bayesschätzer Microsoft Kinect Formschätzung Partial LikelihoodTracking Bayesian Estimation Microsoft Kinect Shape Fitting Partial Likelihood | ||
| 776 | |z 3-7315-0517-7 | ||
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:32:37 Europe/Vienna |f system |c marc21 |a 2019-11-10 04:18:40 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338801720004498&Force_direct=true |Z 5338801720004498 |b Available |8 5338801720004498 | ||