BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques

doi:10.24272/j.issn.2095-8137.2022.485

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques
	Yang, Sen 1,2,3; Chen, Zhi-Yuan 1,2,3; Liang, Ke-Wei 1,2,3; Qin, Cai-Jie 1,2,3; Yang, Yang 1,2,3; Fan, Wen-Xuan 1,2,3; Jie, Chen-Lu 1,2,3,4; Ma, Xi-Bo 1,2,3
刊名	ZOOLOGICAL RESEARCH
	2023-11-18
卷号	44 期号:6 页码:1026-1038
关键词	Macaque behavior Drug safety assessment Multi-label behavior detection Behavioral similarity Relation network
ISSN号	2095-8137
DOI	10.24272/j.issn.2095-8137.2022.485
通讯作者	Ma, Xi-Bo(xibo.ma@nlpr.ia.ac.cn)
英文摘要	Quantification of behaviors in macaques provides crucial support for various scientific disciplines, including pharmacology, neuroscience, and ethology. Despite recent advancements in the analysis of macaque behavior, research on multi-label behavior detection in socially housed macaques, including consideration of interactions among them, remains scarce. Given the lack of relevant approaches and datasets, we developed the Behavior-Aware Relation Network (BARN) for multi-label behavior detection of socially housed macaques. Our approach models the relationship of behavioral similarity between macaques, guided by a behavior-aware module and novel behavior classifier, which is suitable for multi-label classification. We also constructed a behavior dataset of rhesus macaques using ordinary RGB cameras mounted outside their cages. The dataset included 65 913 labels for 19 behaviors and 60 367 proposals, including identities and locations of the macaques. Experimental results showed that BARN significantly improved the baseline SlowFast network and outperformed existing relation networks. In conclusion, we successfully achieved multi-label behavior detection of socially housed macaques with both economic efficiency and high accuracy.
资助项目	Major Project of the National Natural Science Foundation of China[82090051] ; Major Project of the National Natural Science Foundation of China[81871442] ; Outstanding Member Project of Youth Innovation Promotion Association of the Chinese Academy of Sciences[Y201930]
WOS关键词	TRACKING ; SAFETY
WOS研究方向	Zoology
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:001112327400001
资助机构	Major Project of the National Natural Science Foundation of China ; Outstanding Member Project of Youth Innovation Promotion Association of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54994]
专题	多模态人工智能系统全国重点实验室
通讯作者	Ma, Xi-Bo
作者单位	1.Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang 110169, Liaoning, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, MAIS, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Heilongjiang, Peoples R China
推荐引用方式 GB/T 7714	Yang, Sen,Chen, Zhi-Yuan,Liang, Ke-Wei,et al. BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques[J]. ZOOLOGICAL RESEARCH,2023,44(6):1026-1038.
APA	Yang, Sen.,Chen, Zhi-Yuan.,Liang, Ke-Wei.,Qin, Cai-Jie.,Yang, Yang.,...&Ma, Xi-Bo.(2023).BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques.ZOOLOGICAL RESEARCH,44(6),1026-1038.
MLA	Yang, Sen,et al."BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques".ZOOLOGICAL RESEARCH 44.6(2023):1026-1038.