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

IF 1.4 4区计算机科学 Q4 ROBOTICS

Advanced Robotics Pub Date : 2024-08-07 DOI:10.1080/01691864.2024.2384423

Nina Nakajima, Hikari Koyasu, Yuki Maruno, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo

引用次数: 0

摘要

计算机视觉模型（如 "只看一眼"（YOLO））在追踪一般物体方面表现出色，但在准确追踪多种动物方面却往往力不从心。在这项研究中，我们旨在验证 "只看一眼 "模型的改进效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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...

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来源期刊

Advanced Robotics 工程技术-机器人学

CiteScore

4.10

自引率

20.00%

发文量

102

审稿时长

5.3 months

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.