Evaluation of a System to Analyze Long-Term Images from a Stationary Camera

  • Akira Ishii
  • Tetsuya Abe
  • Hiroyuki Hakoda
  • Buntarou Shizuki
  • Jiro Tanaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9734)

Abstract

Recording and analyzing images taken over a long time period (e.g., several months) from a stationary camera could reveal various information regarding the recorded target. However, it is difficult to view such images in their entirety, because the speed at which the images are replayed must be sufficiently slow for the user to comprehend them, and thus it is difficult to obtain valuable information from the images quickly. To address this problem, we have developed a heatmap-based analyzing system. In this paper, we present an experiment conducted using our analyzing system to evaluate the system and identify user processes for analyzing images provided by a stationary camera. Our findings should provide guidance in designing interfaces for the visual analytics of long-term images from stationary cameras.

Keywords

Data visualization Big data management Evaluating information Information presentation Heatmap Surveillance system Visual analytics Lifelog 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Akira Ishii
    • 1
  • Tetsuya Abe
    • 1
  • Hiroyuki Hakoda
    • 1
  • Buntarou Shizuki
    • 1
  • Jiro Tanaka
    • 1
  1. 1.University of TsukubaTsukubaJapan

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