Monitoring and detecting fish behaviors provide essential information on fish welfare and contribute to achieving intelligent production in global aquaculture. This work proposes an efficient approach to analyze the spatial distribution status and motion patterns of juvenile clownfish \textit{(Amphiprion bicinctus)} maintained in aquaria at three stocking densities (1, 5, and 10 individuals/aquarium). The estimated displacement is the key factor in assessing the dispersion and velocity to express the clownfish's spatial distribution and movement behavior in a recirculating aquaculture system. Indeed, we aim at computing the velocity, magnitude, and turning angle using an optical flow method to assist aquaculturists in efficiently monitoring and identifying fish behavior. We test the system design on a database containing two days of video streams of juvenile clownfish maintained in aquaria. The proposed displacement estimation reveals good performance in measuring clownfish's motion and dispersion characteristics leading to assess the potential signs of stress behaviors. Furthermore, we demonstrate the effectiveness of the proposed technique for quantifying variation in clownfish activity levels between recordings taken in the morning and afternoon at different stocking densities.
翻译:这项工作提出了一种有效的方法,用以分析三个鱼群密度(1、5和10个人/水族)在水库中保存的幼幼小丑鱼(Amphiprion bicinctus)的空间分布状况和运动模式。估计的迁移情况是评估分散性和速度以表达小丑鱼的空间分布和移动行为的关键因素,从而在再生的水产养殖系统中表达小丑鱼的空间分布和移动行为。事实上,我们的目标是利用光学流方法计算速度、数量和角角,以协助水产动物有效监测和确定鱼类行为。我们用一个数据库测试系统设计,其中载有在水库中保存的两天幼小丑鱼的视频流。拟议的迁移估计表明在测量小丑鱼运动和分散特性以便评估可能的压力行为迹象方面表现良好。此外,我们展示了拟议技术的有效性,以量化在不同的鱼群群中上下午拍摄的记录之间在捕虾活动水平上的差异。