A new multi-object tracking pipeline based on computer vision techniques for mussel farms

IF 2.1 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Journal of the Royal Society of New Zealand Pub Date : 2023-07-30 DOI:10.1080/03036758.2023.2240466
D. Zeng, Ivy Liu, Ying Bi, R. Vennell, Dana Briscoe, Bing Xue, Mengjie Zhang
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一种新的基于计算机视觉的贻贝养殖场多目标跟踪管道
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来源期刊
Journal of the Royal Society of New Zealand
Journal of the Royal Society of New Zealand 综合性期刊-综合性期刊
CiteScore
4.60
自引率
0.00%
发文量
74
审稿时长
3 months
期刊介绍: Aims: The Journal of the Royal Society of New Zealand reflects the role of Royal Society Te Aparangi in fostering research and debate across natural sciences, social sciences, and the humanities in New Zealand/Aotearoa and the surrounding Pacific. Research published in Journal of the Royal Society of New Zealand advances scientific knowledge, informs government policy, public awareness and broader society, and is read by researchers worldwide.
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