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Collaborative real-time motion video analysis by human observer and image exploitation algorithms

: Hild, Jutta; Krüger, Wolfgang; Brüstle, Stefan; Trantelle, Patrick; Unmüßig, Gabriel; Heinze, Norbert; Peinsipp-Byma, Elisabeth; Beyerer, Jürgen

Postprint urn:nbn:de:0011-n-3698415 (354 KByte PDF)
MD5 Fingerprint: 0ab0b2ef13e698099726d8d9ab955040
Copyright Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Erstellt am: 9.2.2016

Self, D. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Motion imagery: Standards, quality, and interoperability : 20 - 21 April 2015, Baltimore, Maryland, United States
Bellingham, WA: SPIE, 2015 (Proceedings of SPIE 9463)
ISBN: 978-1-62841-579-7
Paper 94630C, 7 S.
Conference "Motion Imagery - Standards, Quality, and Interoperability" <2015, Baltimore/Md.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
real-time motion video analysis; image exploitation system; target tracking; human observer; computer-human interaction; gaze-based interaction; pilot study

Motion video analysis is a challenging task, especially in real-time applications. In most safety and security critical applications, a human observer is an obligatory part of the overall analysis system. Over the last years, substantial progress has been made in the development of automated image exploitation algorithms. Hence, we investigate how the benefits of automated video analysis can be integrated suitably into the current video exploitation systems. In this paper, a system design is introduced which strives to combine both the qualities of the human observer's perception and the automated algorithms, thus aiming to improve the overall performance of a real-time video analysis system. The system design builds on prior work where we showed the benefits for the human observer by means of a user interface which utilizes the human visual focus of attention revealed by the eye gaze direction for interaction with the image exploitation system; eye tracker-based interaction allows much faster, more convenient, and equally precise moving target acquisition in video images than traditional computer mouse selection. The system design also builds on prior work we did on automated target detection, segmentation, and tracking algorithms. Beside the system design, a first pilot study is presented, where we investigated how the participants (all non-experts in video analysis) performed in initializing an object tracking subsystem by selecting a target for tracking. Preliminary results show that the gaze + key press technique is an effective, efficient, and easy to use interaction technique when performing selection operations on moving targets in videos in order to initialize an object tracking function.