AntVis: A web-based visual analytics tool for exploring ant movement data

We present AntVis, a web-based visual analytics tool for exploring ant movement data collected from the video recording of ants moving on tree branches. Our goal is to enable domain experts to visually explore massive ant movement data and gain valuable insights via effective visualization, filterin...

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Bibliographic Details
Published in:Visual informatics (Online) 2020-03, Vol.4 (1), p.58-70
Main Authors: Hu, Tianxiao, Zheng, Hao, Liang, Chen, Zhu, Sirou, Imirzian, Natalie, Zhang, Yizhe, Wang, Chaoli, Hughes, David P., Chen, Danny Z.
Format: Article
Language:English
Subjects:
Ant movement
Image segmentation
Knowledge discovery
Object detection
Visual analytics
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Summary:We present AntVis, a web-based visual analytics tool for exploring ant movement data collected from the video recording of ants moving on tree branches. Our goal is to enable domain experts to visually explore massive ant movement data and gain valuable insights via effective visualization, filtering, and comparison. This is achieved through a deep learning framework for automatic detection, segmentation, and labeling of ants, ant movement clustering based on their trace similarity, and the design and development of five coordinated views (the movement, similarity, timeline, statistical, and attribute views) for user interaction and exploration. We demonstrate the effectiveness of AntVis with several case studies developed in close collaboration with domain experts. Finally, we report the expert evaluation conducted by an entomologist and point out future directions of this study.
ISSN:2468-502X
2468-502X
DOI:10.1016/j.visinf.2020.02.001