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Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems
المؤلفون المشاركون
Miranda-Moreno, Luis
Fu, Ting
Stipancic, Joshua
Zangenehpour, Sohail
Saunier, Nicolas
المصدر
Journal of Advanced Transportation
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-09
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Vision-based monitoring systems using visible spectrum (regular) video cameras can complement or substitute conventional sensors and provide rich positional and classification data.
Although new camera technologies, including thermal video sensors, may improve the performance of digital video-based sensors, their performance under various conditions has rarely been evaluated at multimodal facilities.
The purpose of this research is to integrate existing computer vision methods for automated data collection and evaluate the detection, classification, and speed measurement performance of thermal video sensors under varying lighting and temperature conditions.
Thermal and regular video data was collected simultaneously under different conditions across multiple sites.
Although the regular video sensor narrowly outperformed the thermal sensor during daytime, the performance of the thermal sensor is significantly better for low visibility and shadow conditions, particularly for pedestrians and cyclists.
Retraining the algorithm on thermal data yielded an improvement in the global accuracy of 48%.
Thermal speed measurements were consistently more accurate than for the regular video at daytime and nighttime.
Thermal video is insensitive to lighting interference and pavement temperature, solves issues associated with visible light cameras for traffic data collection, and offers other benefits such as privacy, insensitivity to glare, storage space, and lower processing requirements.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fu, Ting& Stipancic, Joshua& Zangenehpour, Sohail& Miranda-Moreno, Luis& Saunier, Nicolas. 2017. Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1170747
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fu, Ting…[et al.]. Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems. Journal of Advanced Transportation No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1170747
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fu, Ting& Stipancic, Joshua& Zangenehpour, Sohail& Miranda-Moreno, Luis& Saunier, Nicolas. Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1170747
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1170747
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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