کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6479007 1428282 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrated detection and tracking of workforce and equipment from construction jobsite videos
ترجمه فارسی عنوان
شناسایی و ردیابی مجتمع نیروی کار و تجهیزات از ویدیوهای کارگاه ساختمانی
کلمات کلیدی
تشخیص ویژوال، ردیابی ویژوال تکنیک های تصویربرداری، سیستم های شناسایی خودکار،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی


- To design a method to integrate the visual detection and tracking techniques
- To achieve high precision and recall for detecting and tracking construction objects
- To simultaneously detect and track multiple construction objects of interest

High definition (HD) video cameras have been used to record daily activities at construction jobsites into videos. These videos contain rich workforce and equipment information for site engineers and project managers to analyze construction productivity, monitor construction progress, inspect jobsite safety, etc. However, it is difficult to automatically retrieve such information from the videos, since existing methods for the detection of construction workforce and equipment could not reach high precision and recall at the same time. This paper presents a novel framework that integrates the visual tracking into the detection of construction workforce and equipment. The integration significantly improves the recall and meanwhile maintains high precision. The proposed framework has been tested in real construction jobsites. Although it does not process the jobsite videos in real time yet, the test results showed that the recall for the detection of construction workforce and equipment was improved by more than 30-50%, while maintain the precision at the same level.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 81, September 2017, Pages 161-171
نویسندگان
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