A Robust Real-Time Detecting and Tracking Framework for Multiple Kinds of Unmarked Object

A rodent real-time tracking framework is proposed to automatically detect and track multi-objects in real time and output the coordinates of each object, which combines deep learning (YOLO v3: You Only Look Once, v3), the Kalman Filter, improved Hungarian algorithm, and the nine-point position corre...

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Detalles Bibliográficos
Autores principales: Lv, Xiaodong, Dai, Chuankai, Chen, Luyao, Lang, Yiran, Tang, Rongyu, Huang, Qiang, He, Jiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982905/
https://www.ncbi.nlm.nih.gov/pubmed/31861254
http://dx.doi.org/10.3390/s20010002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982905/
https://www.ncbi.nlm.nih.gov/pubmed/31861254
http://dx.doi.org/10.3390/s20010002

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