@inproceedings{94f00f2c09b04346bcec4bc5b6cf7f3a,
title = "Evaluation of a system to analyze long-term images from a stationary camera",
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 = "Big data management, Data visualization, Evaluating information, Heatmap, Information presentation, Lifelog, Surveillance system, Visual analytics",
author = "Akira Ishii and Tetsuya Abe and Hiroyuki Hakoda and Buntarou Shizuki and Jiro Tanaka",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
year = "2016",
doi = "10.1007/978-3-319-40349-6_26",
language = "English",
isbn = "9783319403489",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "275--286",
editor = "Sakae Yamamoto",
booktitle = "Human Interface and the Management of Information",
}