Share Email Print
cover

Proceedings Paper

Pilot study on real-time motion detection in UAS video data by human observer and image exploitation algorithm
Author(s): Jutta Hild; Wolfgang Krüger; Stefan Brüstle; Patrick Trantelle; Gabriel Unmüßig; Michael Voit; Norbert Heinze; Elisabeth Peinsipp-Byma; Jürgen Beyerer
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Real-time motion video analysis is a challenging and exhausting task for the human observer, particularly in safety and security critical domains. Hence, customized video analysis systems providing functions for the analysis of subtasks like motion detection or target tracking are welcome. While such automated algorithms relieve the human operators from performing basic subtasks, they impose additional interaction duties on them. Prior work shows that, e.g., for interaction with target tracking algorithms, a gaze-enhanced user interface is beneficial. In this contribution, we present an investigation on interaction with an independent motion detection (IDM) algorithm. Besides identifying an appropriate interaction technique for the user interface – again, we compare gaze-based and traditional mouse-based interaction – we focus on the benefit an IDM algorithm might provide for an UAS video analyst. In a pilot study, we exposed ten subjects to the task of moving target detection in UAS video data twice, once performing with automatic support, once performing without it. We compare the two conditions considering performance in terms of effectiveness (correct target selections). Additionally, we report perceived workload (measured using the NASA-TLX questionnaire) and user satisfaction (measured using the ISO 9241-411 questionnaire). The results show that a combination of gaze input and automated IDM algorithm provides valuable support for the human observer, increasing the number of correct target selections up to 62% and reducing workload at the same time.

Paper Details

Date Published: 1 May 2017
PDF: 9 pages
Proc. SPIE 10199, Geospatial Informatics, Fusion, and Motion Video Analytics VII, 1019903 (1 May 2017); doi: 10.1117/12.2262477
Show Author Affiliations
Jutta Hild, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Wolfgang Krüger, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Stefan Brüstle, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Patrick Trantelle, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Gabriel Unmüßig, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Michael Voit, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Norbert Heinze, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Elisabeth Peinsipp-Byma, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Jürgen Beyerer, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Karlsruher Institut für Technologie (Germany)


Published in SPIE Proceedings Vol. 10199:
Geospatial Informatics, Fusion, and Motion Video Analytics VII
Kannappan Palaniappan; Peter J. Doucette; Gunasekaran Seetharaman; Anthony Stefanidis, Editor(s)

© SPIE. Terms of Use
Back to Top