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Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems
Joint Authors
Miranda-Moreno, Luis
Fu, Ting
Stipancic, Joshua
Zangenehpour, Sohail
Saunier, Nicolas
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-09
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170747