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  4. Pilot study on real-time motion detection in UAS video data by human observer and image exploitation algorithm
 
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2017
Conference Paper
Title

Pilot study on real-time motion detection in UAS video data by human observer and image exploitation algorithm

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.
Author(s)
Hild, Jutta  orcid-logo
Krüger, Wolfgang  
Brüstle, Stefan  
Trantelle, Patrick  
Unmüßig, Gabriel  
Voit, Michael  
Heinze, Norbert  
Peinsipp-Byma, Elisabeth  
Beyerer, Jürgen  
Mainwork
Geospatial Informatics, Fusion, and Motion Video Analytics VII  
Conference
Conference "Geospatial Informatics, Fusion, and Motion Video Analytics" 2017  
Open Access
File(s)
Download (353.9 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-r-397318
10.1117/12.2262477
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • real-time motion video analysis

  • human observer

  • independent motion detection

  • image exploitation system

  • computer-human interaction

  • gaze-based interaction

  • pilot study

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