Automatic excavator action recognition and localisation for untrimmed video using hybrid LSTM-Transformer networks

IF 2.7 3区工程技术 Q3 ENVIRONMENTAL SCIENCES

International Journal of Mining Reclamation and Environment Pub Date : 2023-12-13 DOI:10.1080/17480930.2023.2290364

Abbey Martin, Andrew J. Hill, Konstantin M. Seiler, Mehala Balamurali

引用次数: 0

Abstract

In mining and construction, excavators are integral to earth-moving operations. Accurate knowledge of excavator activities may be used in productivity analysis to streamline delivery. This paper pr...

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使用混合 LSTM-Transformer 网络对未修剪视频进行挖掘机动作自动识别和定位

在采矿和建筑中，挖掘机是挖土作业不可或缺的一部分。挖掘机活动的准确知识可用于生产率分析，以简化交付。这篇论文…

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来源期刊

International Journal of Mining Reclamation and Environment ENVIRONMENTAL SCIENCES-MINING & MINERAL PROCESSING

CiteScore

5.70

自引率

8.30%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Mining, Reclamation and Environment published research on mining and environmental technology engineering relating to metalliferous deposits, coal, oil sands, and industrial minerals. We welcome environmental mining research papers that explore: -Mining environmental impact assessment and permitting- Mining and processing technologies- Mining waste management and waste minimization practices in mining- Mine site closure- Mining decommissioning and reclamation- Acid mine drainage. The International Journal of Mining, Reclamation and Environment welcomes mining research papers that explore: -Design of surface and underground mines (economics, geotechnical, production scheduling, ventilation)- Mine planning and optimization- Mining geostatics- Mine drilling and blasting technologies- Mining material handling systems- Mine equipment