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  • Vision-based action recognition of earthmoving equipment

    In contrast, equipment posture recognition has mainly involved recognizing single actions of earthmoving construction equipment based on computer vision algorithms [13]. Automatic equipment

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  • Frontiers | Visual Analytics for Operation-Level

    Nov 27, 2020 · Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles. Automat. Constr. 104, 255–264. doi: 10.1016/j.autcon.2019.03.025

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  • Vision-based action recognition of earthmoving equipment

    This paper presents a new computer vision based algorithm for recognizing single actions of earthmoving construction equipment. This is particularly a challenging task as equipment can be partially occluded in site video streams and usually come in wide variety of sizes and appearances.

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  • Multi-camera vision-based productivity monitoring of

    Apr 01, 2020 · Action recognition. Based on the tracking results, this module recognizes the individual actions of earthmoving equipment (excavators: 'digging', 'swinging full', 'dumping', 'swinging empty', 'moving', and 'stopping'; dump trucks: 'moving' and 'stopping') via sequential pattern analysis.

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  • (PDF) Interaction analysis for vision-based activity

    Mar 01, 2018 · mework included four main processes: equipment tracking, action recognition of individual equipment, inter- action analysis, and post-processing. The …

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  • A Deep Learning-Based Approach to Enable Action

    J. Kim and S. Chi, "Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles," Automation in Construction, vol. 104, pp. 255–264, 2019. View at: Publisher Site | Google Scholar

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  • Automated Vision-Based Tracking and Action Recognition of

    Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations Arsalan Heydarian Thesis submitted to the faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science In Civil Engineering Mani Golparvar-Fard, Committee Chair

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  • (PDF) Occupant behavior monitoring and emergency event

    This paper proposes a vision-based action recognition framework that considers the sequential working patterns of earthmoving excavators for automated cycle time and productivity analysis.

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  • Frontiers | Visual Analytics for Operation-Level

    Nov 27, 2020 · Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles. Automat. Constr. 104, 255–264. doi: 10.1016/j.autcon.2019.03.025

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  • Vision-based action recognition of earthmoving equipment

    We present a computer vision based method for equipment action recognition.Our vision-based method is based on a multiple binary SVM classifier and spatio-temporal features.A comprehensive real-world video dataset of excavator and truck actions is presented.We achieve accuracies of 86.33% and 98.33% for excavator and truck action classes.The presented method can be used for construction

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  • (PDF) Monitoring the Work Cycles of Earthmoving …

    Sep 26, 2021 · The recognition based on the sequential pattern method associates atomic actions in a Atomic actions of an earthmoving excavator intercepted the precision level for the recognition

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  • (PDF) Computer vision technologies for safety science and

    This paper proposes a vision-based action recognition framework that considers the sequential working patterns of earthmoving excavators for automated cycle time and productivity analysis.

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  • Development of a Comprehensive Driving Cycle for

    Feb 23, 2021 · J. Kim and S. Chi, "Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles," …

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  • Monitoring the Work Cycles of Earthmoving Excavators in

    Monitoring the work cycles of earthmoving excavators is an important aspect of construction productivity assessment. Currently, the most advanced method for the recognition of work cycles is the "Stretching-Bending" Sequential Pattern (SBSP), which is based on fixed-carrier video monitoring (FC-SBSP). However, the application of this method presupposes the availability of preconstructed

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  • Action recognition of earthmoving excavators based on

    Aug 01, 2019 · Such visual information can be an important cue for classifying the operation types of an excavator; for instance, the 'digging' actions of excavators can be recognized easily based on the geometric relationship between their bodies, arms, and buckets (e.g., …

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  • Monitoring the Work Cycles of Earthmoving Excavators in

    Monitoring the work cycles of earthmoving excavators is an important aspect of construction productivity assessment. Currently, the most advanced method for the recognition of work cycles is the "Stretching-Bending" Sequential Pattern (SBSP), which is based on fixed-carrier video monitoring (FC-SBSP). However, the application of this method presupposes the availability of preconstructed

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  • Automatic Identification of Excavator Activities Using

    Sep 10, 2019 · A DTW algorithm that facilitated automatic identification of earth-moving activities performed by excavators has been developed based on a general pattern-recognition process. Experiments were performed using an industrial excavator, and the dynamic time warping method yielded great performance as a classifier during the digging and leveling tasks.

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  • Data, Sensing, and Analytics

    Sequential Pattern Learning of Visual Features and Operation Cycles for Vision-Based Action Recognition of Earthmoving Excavators ..298 Jinwoo Kim, Seokho Chi, and Minji Choi Modelling and Controlling Unmanned Excavation Equipment on

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