GPS-Aided Video Tracking
Tracking moving objects is both challenging and important for a large variety of applications. Different technologies based on the global positioning system (GPS) and video or radio data are used to obtain the trajectories of the observed objects. However, in some use cases, they fail to provide suf...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-08-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2220-9964/4/3/1317 |
| _version_ | 1818603066333593600 |
|---|---|
| author | Udo Feuerhake Claus Brenner Monika Sester |
| author_facet | Udo Feuerhake Claus Brenner Monika Sester |
| author_sort | Udo Feuerhake |
| collection | DOAJ |
| description | Tracking moving objects is both challenging and important for a large variety of applications. Different technologies based on the global positioning system (GPS) and video or radio data are used to obtain the trajectories of the observed objects. However, in some use cases, they fail to provide sufficiently accurate, complete and correct data at the same time. In this work we present an approach for fusing GPS- and video-based tracking in order to exploit their individual advantages. In this way we aim to combine the reliability of GPS tracking with the high geometric accuracy of camera detection. For the fusion of the movement data provided by the different devices we use a hidden Markov model (HMM) formulation and the Viterbi algorithm to extract the most probable trajectories. In three experiments, we show that our approach is able to deal with challenging situations like occlusions or objects which are temporarily outside the monitored area. The results show the desired increase in terms of accuracy, completeness and correctness. |
| first_indexed | 2024-12-16T13:17:16Z |
| format | Article |
| id | doaj.art-4613f589a3ee498281229cdeb135ce60 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-16T13:17:16Z |
| publishDate | 2015-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-4613f589a3ee498281229cdeb135ce602022-12-21T22:30:26ZengMDPI AGISPRS International Journal of Geo-Information2220-99642015-08-01431317133510.3390/ijgi4031317ijgi4031317GPS-Aided Video TrackingUdo Feuerhake0Claus Brenner1Monika Sester2Institute for Cartography and Geoinformatics, Leibniz University Hanover, Appelstraße 9a, 30167 Hannover, GermanyInstitute for Cartography and Geoinformatics, Leibniz University Hanover, Appelstraße 9a, 30167 Hannover, GermanyInstitute for Cartography and Geoinformatics, Leibniz University Hanover, Appelstraße 9a, 30167 Hannover, GermanyTracking moving objects is both challenging and important for a large variety of applications. Different technologies based on the global positioning system (GPS) and video or radio data are used to obtain the trajectories of the observed objects. However, in some use cases, they fail to provide sufficiently accurate, complete and correct data at the same time. In this work we present an approach for fusing GPS- and video-based tracking in order to exploit their individual advantages. In this way we aim to combine the reliability of GPS tracking with the high geometric accuracy of camera detection. For the fusion of the movement data provided by the different devices we use a hidden Markov model (HMM) formulation and the Viterbi algorithm to extract the most probable trajectories. In three experiments, we show that our approach is able to deal with challenging situations like occlusions or objects which are temporarily outside the monitored area. The results show the desired increase in terms of accuracy, completeness and correctness.http://www.mdpi.com/2220-9964/4/3/1317object trackingalgorithmtrajectory analysis, sensor and data fusion |
| spellingShingle | Udo Feuerhake Claus Brenner Monika Sester GPS-Aided Video Tracking ISPRS International Journal of Geo-Information object tracking algorithm trajectory analysis, sensor and data fusion |
| title | GPS-Aided Video Tracking |
| title_full | GPS-Aided Video Tracking |
| title_fullStr | GPS-Aided Video Tracking |
| title_full_unstemmed | GPS-Aided Video Tracking |
| title_short | GPS-Aided Video Tracking |
| title_sort | gps aided video tracking |
| topic | object tracking algorithm trajectory analysis, sensor and data fusion |
| url | http://www.mdpi.com/2220-9964/4/3/1317 |
| work_keys_str_mv | AT udofeuerhake gpsaidedvideotracking AT clausbrenner gpsaidedvideotracking AT monikasester gpsaidedvideotracking |