Birgiolas Justas, Jernigan Christopher M, Smith Brian H, Crook Sharon M
School of Life Sciences, Arizona State University, P.O. Box 874601, Tempe, AZ, 85287-4601, USA.
School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA.
Behav Res Methods. 2017 Apr;49(2):576-587. doi: 10.3758/s13428-016-0732-2.
We describe SwarmSight (available at https://github.com/justasb/SwarmSight ), a novel, open-source, Microsoft Windows software tool for quantitative assessment of the temporal progression of animal group activity levels from recorded videos. The tool utilizes a background subtraction machine vision algorithm and provides an activity metric that can be used to quantitatively assess and compare animal group behavior. Here we demonstrate the tool's utility by analyzing defensive bee behavior as modulated by alarm pheromones, wild-bird feeding onset and interruption, and cockroach nest-finding activity. Although more sophisticated, commercial software packages are available, SwarmSight provides a low-cost, open-source, and easy-to-use alternative that is suitable for a wide range of users, including minimally trained research technicians and behavioral science undergraduate students in classroom laboratory settings.
我们介绍了SwarmSight(可从https://github.com/justasb/SwarmSight获取),这是一款新颖的开源Microsoft Windows软件工具,用于从录制的视频中定量评估动物群体活动水平的时间进程。该工具利用背景减法机器视觉算法,并提供一种活动指标,可用于定量评估和比较动物群体行为。在这里,我们通过分析由报警信息素调节的蜜蜂防御行为、野生鸟类进食开始和中断以及蟑螂寻巢活动来证明该工具的实用性。尽管有更复杂的商业软件包,但SwarmSight提供了一种低成本、开源且易于使用的替代方案,适用于广泛的用户,包括训练最少的研究技术人员和课堂实验室环境中的行为科学本科生。