In this thesis we present the development of a multi object detection and tracking system in low light environment implemented by using a RGB-D multicamera system and the deep learning framework. For better understanding how the system works, some hardware and software components are presented such as RGB-D sensor cameras, multi object detection and tracking techniques. In addition a brief introduction of the main concepts of the neural networks are presented.
RGB-D Multicamera Object Detection and Tracking Implemented through Deep Learning
Zhang, GuangZheng
2019/2020
Abstract
In this thesis we present the development of a multi object detection and tracking system in low light environment implemented by using a RGB-D multicamera system and the deep learning framework. For better understanding how the system works, some hardware and software components are presented such as RGB-D sensor cameras, multi object detection and tracking techniques. In addition a brief introduction of the main concepts of the neural networks are presented.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/24605