کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6679566 1428031 2018 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-time validation of vision-based over-height vehicle detection system
ترجمه فارسی عنوان
اعتبار سنجی در زمان واقعی از سیستم تشخیص خودرو بیش از حد مبتنی بر بینش
کلمات کلیدی
برخورد پل، اعتصاب پل بیش از حد، سیستم تشخیص بیش از حد، وسیله نقلیه بیش از حد، اعتصاب تونل،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Over-height vehicle strikes with low bridges and tunnels are an ongoing problem worldwide. While previous methods have used vision-based systems to address the over-height warning problem, such methods are sensitive to wind. In this paper, we perform a full validation of the system using a constraint-based approach to minimize the number of over-height vehicle misclassifications due to windy conditions. The dataset includes a total of 102 over-height vehicles recorded at frame rates of 25 and 30fps. An analysis is performed of wind and vehicle displacements to track over-height features using optical flow paired with SURF feature detectors. Motion captured within the region of interest was treated as a standard two-class binary linear classification problem with 1 indicating over-height vehicle presence and 0 indicating noise. The algorithm performed with 100% recall, 83.3% precision, false positive rate of 0.2% and warning accuracy of 96.6%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advanced Engineering Informatics - Volume 38, October 2018, Pages 67-80
نویسندگان
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