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Computer Science > Computer Vision and Pattern Recognition

arXiv:2204.04380 (cs)
[Submitted on 9 Apr 2022]

Title:A dataset of ant colonies motion trajectories in indoor and outdoor scenes for social cluster behavior study

Authors:Meihong Wu, Xiaoyan Cao, Xiaoyu Cao, Shihui Guo
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Abstract:Motion and interaction of social insects (such as ants) have been studied by many researchers to understand the clustering mechanism. Most studies in the field of ant behavior have only focused on indoor environments, while outdoor environments are still underexplored. In this paper, we collect 10 videos of ant colonies from different indoor and outdoor scenes. And we develop an image sequence marking software named VisualMarkData, which enables us to provide annotations of ants in the video. In all 5354 frames, the location information and the identification number of each ant are recorded for a total of 712 ants and 114112 annotations. Moreover, we provide visual analysis tools to assess and validate the technical quality and reproducibility of our data. It is hoped that this dataset will contribute to a deeper exploration on the behavior of the ant colony.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2204.04380 [cs.CV]
  (or arXiv:2204.04380v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2204.04380

Submission history

From: Xiaoyan Cao [view email]
[v1] Sat, 9 Apr 2022 03:49:55 UTC (25,950 KB)
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