Construction of Stretching-Bending Sequential Pattern to Recognize Work Cycles for Earthmoving Excavator from Long Video Sequences

Construction of Stretching-Bending Sequential Pattern to Recognize Work Cycles for Earthmoving Excavator from Long Video Sequences

Counting the number of work cycles per unit of time of earthmoving excavators is essential in order to calculate their productivity in earthmoving projects. The existing methods based on computer vision (CV) find it difficult to recognize the work cycles of earthmoving excavators effectively in long...

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Bibliographic Details
Main Authors: Yiguang Wu, Meizhen Wang, Xuejun Liu, Ziran Wang, Tianwu Ma, Yujia Xie, Xiuquan Li, Xing Wang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
earthmoving projects
earthmoving excavators
surveillance cameras
reality factors
deep learning
work cycle
Online Access:https://www.mdpi.com/1424-8220/21/10/3427

Internet

https://www.mdpi.com/1424-8220/21/10/3427

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