{"title":"为家猫开发多动物深度追踪技术，未来应用于社会行为分析","authors":"Nina Nakajima, Hikari Koyasu, Yuki Maruno, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo","doi":"10.1080/01691864.2024.2384423","DOIUrl":null,"url":null,"abstract":"Computer vision models such as You Only Look Once (YOLO) excel at tracking general objects, yet they often struggle to accurately track multiple animals. In this study, we aimed to verify the impro...","PeriodicalId":7261,"journal":{"name":"Advanced Robotics","volume":"177 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of deep multi-animal tracking for domestic cats toward future application to social behavior analysis\",\"authors\":\"Nina Nakajima, Hikari Koyasu, Yuki Maruno, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo\",\"doi\":\"10.1080/01691864.2024.2384423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computer vision models such as You Only Look Once (YOLO) excel at tracking general objects, yet they often struggle to accurately track multiple animals. In this study, we aimed to verify the impro...\",\"PeriodicalId\":7261,\"journal\":{\"name\":\"Advanced Robotics\",\"volume\":\"177 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Robotics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/01691864.2024.2384423\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Robotics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/01691864.2024.2384423","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
Development of deep multi-animal tracking for domestic cats toward future application to social behavior analysis
Computer vision models such as You Only Look Once (YOLO) excel at tracking general objects, yet they often struggle to accurately track multiple animals. In this study, we aimed to verify the impro...
期刊介绍：
Advanced Robotics (AR) is the international journal of the Robotics Society of Japan and has a history of more than twenty years. It is an interdisciplinary journal which integrates publication of all aspects of research on robotics science and technology. Advanced Robotics publishes original research papers and survey papers from all over the world. Issues contain papers on analysis, theory, design, development, implementation and use of robots and robot technology. The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields. It also covers aspects of social and managerial analysis and policy regarding robots.
Advanced Robotics (AR) is an international, ranked, peer-reviewed journal which publishes original research contributions to scientific knowledge.
All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.
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