农业全景智能监测预警系统研究

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-01 DOI:10.1109/ITNEC.2019.8729270

Z. Ling, Chen Jianguo

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引用次数: 0

摘要

针对农业监控现场摄像机随机采集图像的局限性、离散性和冗余性，提出了一种多摄像机系统全景智能监控预警方法。首先，利用熵理论设计多摄像机模型，以获得效率最高的摄像机数量;然后，通过对单帧图像的配准和融合，将图像拼接成全景图像，获得全局信息。最后，对多个摄像机的子决策进行组合。，获得更可靠的预警判断。

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Research on Agricultural Panorama Intelligent Monitoring and Early Warning System

Aiming at the limitations, dispersion and redundancy of randomly collected images of agricultural surveillance field cameras, a multi-camera system panoramic intelligent monitoring and early warning method is proposed. Firstly, the multi-camera model is designed by entropy theory to obtain the number of cameras with maximum efficiency. Then, through the registration and fusion of single-frame images, the images are stiched into panoramic images to obtain global information. Finally, the sub-decisions of multiple cameras are combined., get a more reliable early warning judgment.

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来源期刊

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

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