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ISPRS Int. J. Geo-Inf. 2015, 4(3), 1317-1335; doi:10.3390/ijgi4031317

GPS-Aided Video Tracking

Institute for Cartography and Geoinformatics, Leibniz University Hanover, Appelstraße 9a, 30167 Hannover, Germany
These authors contributed equally to this work.
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Academic Editors: Alper Yilmaz and Wolfgang Kainz
Received: 3 February 2015 / Revised: 9 July 2015 / Accepted: 31 July 2015 / Published: 6 August 2015
(This article belongs to the Special Issue Selected Papers from the ISPRS Tracking and Imaging Challenge 2014)
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Abstract

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. View Full-Text
Keywords: object tracking; algorithm; trajectory analysis, sensor and data fusion object tracking; algorithm; trajectory analysis, sensor and data fusion
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Feuerhake, U.; Brenner, C.; Sester, M. GPS-Aided Video Tracking. ISPRS Int. J. Geo-Inf. 2015, 4, 1317-1335.

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