AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants

Sabattini, J.A.; Reta, J.M.; Bugnon, Leandro A.; Cerrudo, J.I.; Sabattini, Rafael Alberto; Peñalva, A.; Bollazzi, Martín; Paz, M.O.; Sturniolo, Francisco

doi:10.1016/j.ohx.2022.e00270

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…The hardware AntVideoRecorder [38] was used to record the activity of leafcutter ants on video. The device was placed on an ant trail near the nest entrance.…”

Section: Data Collectionmentioning

confidence: 99%

“…Recently we have found an effective way to register locomotion rhythms continuously in time by means of the AntVRecord [38], an open hardware device that stores video on physical media that must then be analyzed to determine the daily, monthly, or seasonal rate of locomotion and foraging of an LCA nest. Using this hardware, we can record several hours of activity with total autonomy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Anttracker: A Low-Cost and Efficient Computer Vision Approach to Research Leaf-Cutter Ants Behavior

Alberto¹,

Francisco²,

Bollazzi³

et al. 2023

Preprint

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“…The hardware AntVideoRecorder [38] was used to record the activity of leafcutter ants on video. The device was placed on an ant trail near the nest entrance.…”

Section: Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Anttracker: A Low-Cost and Efficient Computer Vision Approach to Research Leaf-Cutter Ants Behavior

Alberto¹,

Francisco²,

Bollazzi³

et al. 2023

Preprint

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“…A critical requirement for the development of these models is access to datasets containing annotations of motion trajectories of insects in the video. Several works have attempted to improve the imaging of such insects in natural environments [ 25 , 27 ]. To the best of our knowledge, however, only a few works [ 25 , 26 ] annotate motion trajectories in videos, and both use only a single outdoor scene sequence, which lacks data diversity.…”

Section: Contextmentioning

confidence: 99%

A dataset of ant colonies’ motion trajectories in indoor and outdoor scenes to study clustering behavior

Cao

Ming

et al. 2022

GigaScience

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Background The motion and interaction of social insects (such as ants) have been studied by many researchers to understand clustering mechanisms. Most studies in the field of ant behavior have focused only on indoor environments (a laboratory setup), while outdoor environments (natural environments) are still underexplored. Findings In this article, we collect 10 videos of 3 species of ant colonies from different scenes, including 5 indoor and 5 outdoor scenes. We develop an image sequence marking software named VisualMarkData, which enables us to provide annotations of the ants in the videos. (i) It offers comprehensive annotations of states at the individual-target and colony-target levels. (ii) It provides a simple matrix format to represent multiple targets and multiple groups of annotations (along with their IDs and behavior labels). (iii) During the annotation process, we propose a simple and effective visualization that takes the annotation information of the previous frame as a reference, and then a user can simply click on the center point of each target to complete the annotation task. (iv) We develop a user-friendly window-based GUI to minimize labor and maximize annotation quality. In all 5,354 frames, the location information and the identification number of each ant are recorded for a total of 712 ants and 114,112 annotations. Moreover, we provide visual analysis tools to assess and validate the technical quality and reproducibility of our data. Conclusions We provide a large-scale ant dataset with the accompanying annotation software. It is hoped that our work will contribute to a deeper exploration of the behavior of ant colonies.

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AntTracker: A low-cost and efficient computer vision approach to research leaf-cutter ants behavior

Sabattini

Sturniolo

Bollazzi

et al. 2023

Smart Agricultural Technology

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AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants

Cited by 3 publications

References 26 publications

Anttracker: A Low-Cost and Efficient Computer Vision Approach to Research Leaf-Cutter Ants Behavior

Anttracker: A Low-Cost and Efficient Computer Vision Approach to Research Leaf-Cutter Ants Behavior

A dataset of ant colonies’ motion trajectories in indoor and outdoor scenes to study clustering behavior

AntTracker: A low-cost and efficient computer vision approach to research leaf-cutter ants behavior

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