Scholarlink

<p>Computer vision and artificial intelligence (AI) have become increasingly important in behavioral analysis across biological research. In contrast to well-established methods for individual behavior analysis, computational frameworks for quantitatively assessing zebrafish shoaling behavior remain limited. To address this gap, we propose a cascaded detection–tracking framework that integrates multi-scale object detection with adaptive motion tracking for zebrafish shoaling behavior analysis. A multidimensional feature set was developed to extract both kinematic and spatial distribution metrics from tracked trajectories. Behavioral analysis revealed a biphasic effect of ethanol: low concentrations increased global motion intensity (hyperactivity), whereas higher concentrations reduced locomotor activity and disrupted shoal cohesion.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Synergistic enhancement of detection-tracking framework for zebrafish shoaling behavior analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月7日

查看全文
  • Chen Chen,
  • Natalia Binti Ali,
  • Lingyi Zhao,
  • Yameng Liu,
  • Zhentao Sun,
  • Hao Chen,
  • Yanjun Fang,
  • Youquan Zhao

摘要

Computer vision and artificial intelligence (AI) have become increasingly important in behavioral analysis across biological research. In contrast to well-established methods for individual behavior analysis, computational frameworks for quantitatively assessing zebrafish shoaling behavior remain limited. To address this gap, we propose a cascaded detection–tracking framework that integrates multi-scale object detection with adaptive motion tracking for zebrafish shoaling behavior analysis. A multidimensional feature set was developed to extract both kinematic and spatial distribution metrics from tracked trajectories. Behavioral analysis revealed a biphasic effect of ethanol: low concentrations increased global motion intensity (hyperactivity), whereas higher concentrations reduced locomotor activity and disrupted shoal cohesion.