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extended-abstract

Facilitating multiple target tracking using semantic depth of field (SDOF)

Published: 04 April 2009 Publication History

Abstract

Users of radar control systems and monitoring applications have to constantly extract essential information from dynamic scenes. In these environments a critical and elemental task consists of tracking multiple targets that are moving simultaneously. However, focusing on multiple moving targets is not trivial as it is very easy to lose continuity, particularly when the objects are situated within a very dense or cluttered background. While focus+context displays have been developed to improve users' ability to attend to important visual information, such techniques have not been applied to the visualization of moving objects. In this paper we evaluate the effectiveness of a focus+context technique, referred to as Semantic Depth of Field (SDOF), to the task of facilitating multiple target tracking. Results of our studies show an inclination for better performance with SDOF techniques, especially in low contrast scenarios.

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Kosara, R., Miksch, S., and Hauser, H. Focus+Context taken literally. Proceedings of the IEEE Computer Graphics and Applications, 22(1), (2002), 22 -- 29.
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Kosara, R., Miksch, S., Hauser, H., Schrammel, J., Giller, V., and Tscheligi, M. Useful properties of Semantic Depth of Field for better F+C visualization. Proceedings of the symposium on Data Visualization. Eurographics Association, (2002), 205 -- 210.
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Pylyshyn, Z.W. and Annan, V. Dynamics of target selection in Multiple Object Tracking. Space Vision, 19(6), (2006), 485 -- 504.
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Cited By

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  • (2018)Effect of Pseudo-Haptic Feedback on Touchscreens on Visual Memory During Image BrowsingHaptics: Science, Technology, and Applications10.1007/978-3-319-93399-3_47(551-563)Online publication date: 6-Jun-2018
  • (2018)A Method for Enriching Video-Watching Experience with Applied Effects Based on Eye MovementsMultiMedia Modeling10.1007/978-3-030-05716-9_44(547-553)Online publication date: 11-Dec-2018
  • (2017)Image Modification Based on Spatial Frequency Components for Visual Attention RetargetingIEICE Transactions on Information and Systems10.1587/transinf.2016EDP7413E100.D:6(1339-1349)Online publication date: 2017
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Published In

cover image ACM Conferences
CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems
April 2009
2470 pages
ISBN:9781605582474
DOI:10.1145/1520340
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 04 April 2009

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Author Tags

  1. blurring
  2. moving targets
  3. preattentive cues
  4. semantic depth of field
  5. target tracking
  6. visual displays
  7. visualization

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  • Extended-abstract

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CHI '09
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CHI EA '09 Paper Acceptance Rate 385 of 1,130 submissions, 34%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2018)Effect of Pseudo-Haptic Feedback on Touchscreens on Visual Memory During Image BrowsingHaptics: Science, Technology, and Applications10.1007/978-3-319-93399-3_47(551-563)Online publication date: 6-Jun-2018
  • (2018)A Method for Enriching Video-Watching Experience with Applied Effects Based on Eye MovementsMultiMedia Modeling10.1007/978-3-030-05716-9_44(547-553)Online publication date: 11-Dec-2018
  • (2017)Image Modification Based on Spatial Frequency Components for Visual Attention RetargetingIEICE Transactions on Information and Systems10.1587/transinf.2016EDP7413E100.D:6(1339-1349)Online publication date: 2017
  • (2016)Guidance field: Potential field to guide users to target locations in virtual environments2016 IEEE Symposium on 3D User Interfaces (3DUI)10.1109/3DUI.2016.7460029(39-48)Online publication date: Mar-2016

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