عنوان انگلیسی مقاله:
A vision-based method for automatic tracking of construction machines at nighttime based on deep learning illumination enhancement
ترجمه فارسی عنوان مقاله:
یک روش مبتنی بر بینایی برای ردیابی خودکار ماشین های ساختمانی در شب بر اساس افزایش روشنایی یادگیری عمیق
Sciencedirect - Elsevier - Automation in Construction, 127 (2021) 103721: doi:10:1016/j:autcon:2021:103721
Nighttime construction has been widely conducted in many construction scenarios, but it is also much riskier due to low lighting conditions and fatiguing environments. Therefore, this study proposes a vision-based method specifically for automatic tracking of construction machines at nighttime by integrating the deep learning illu- mination enhancement. Five main modules are involved in the proposed method, including illumination enhancement, machine detection, Kalman filter tracking, machine association, and linear assignment. Then, a testing experiment based on nine nighttime videos is conducted to evaluate the tracking performance using this approach. The results show that the method developed in this study achieved 95.1% in MOTA and 75.9% in MTOP. Compared with the baseline method SORT, the proposed method has improved the tracking robustness of 21.7% in nighttime construction scenarios. The proposed methodology can also be used to help accomplish automated surveillance tasks in nighttime construction to improve the productivity and safety performance.
Keywords: Deep learning | Image enhancement | Construction machines | Nighttime construction | Automatic tracking