中国畜牧杂志2024，Vol.60Issue(10)：24-34,11.DOI:10.19556/j.0258-7033.20231103-04
基于图像处理技术的动物行为识别研究进展
Advances in of Animal Behavior Recognition Based on Image Processing Technology
摘要
Abstract
Animal behavior recognition,a scientific discipline dedicated to deciphering and systematically categorizing the diverse array of behaviors exhibited by various animal species,possesses profound implications for a wide spectrum of research applications.Over recent years,this field has garnered substantial scholarly attention within the computer vision and behavioral ecology communities.The evolution of animal behavior recognition technology has transitioned from relying on traditional methodologies based on manually crafted features to contemporary frameworks rooted in deep learning algorithms.In alignment with this progression,the present comprehensive review offers a rigorous examination of the prevalent methodologies and techniques employed in both traditional and deep learning paradigms.Furthermore,it provides the assessment of the strengths,limitations,and practical applications of each approach in the context of animal behavior research,aiming to facilitate a deeper understanding and advancement of the field.关键词
动物行为/行为识别/图像处理/机器视觉Key words
Animal behavior/Behavior recognition/Image processing/Computer vision分类
农业科技引用本文复制引用
李林葳,刘振宇,宋鑫悦,张智盛,段永鹏,侯欣宇,籍海娜,宋艳波,李菊霞,李艳文..基于图像处理技术的动物行为识别研究进展[J].中国畜牧杂志,2024,60(10):24-34,11.基金项目
山西省基础研究计划青年科学研究项目(20210302124497) （20210302124497）
山西重点研发计划子课题(202102140601005) （202102140601005）
农业农村部设施农业装备与信息化重点实验室开放课题(2011NYZD2202) （2011NYZD2202）
山西农业大学博士启动专项(2021BQ113) （2021BQ113）
山西农业大学大学生创新创业训练计划项目(20230204) （20230204）
山西农业大学2023年度创新创业教育研究课题(2023Y06) （2023Y06）
