Technical Paper presented at European Conference on Computer Vision

The research teams at project partners National Technical University of Athens (NTUA) and FORTH from Greece have presented a joint technical paper related to their work in the SOPRANO project titled "A vision-based framework for human behavior understanding in industrial assembly lines" at the 18th European Conference on Computer Vision (ECCV 2024) held in Milan, Italy from 29 September through 4 October.

Abstract:

This paper introduces a vision-based framework for capturing and understanding human behavior in industrial assembly lines, focusing on car door manufacturing. The framework leverages advanced computer vision techniques to estimate workers' locations and 3D poses and analyze work postures, actions, and task progress. A key contribution is the introduction of the CarDA dataset, which contains domain-relevant assembly actions captured in a realistic setting to support the analysis of the framework for human pose and action analysis. The dataset comprises time-synchronized multi-camera RGB-D videos, motion capture data recorded in a real car manufacturing environment, and annotations for EAWS-based ergonomic risk scores and assembly activities. Experimental results demonstrate the effectiveness of the proposed approach in classifying worker postures and robust performance in monitoring assembly task progress.

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