Thermal Feature Detection of Vehicle Categories in the Urban Area

Tichý, Tomáš; Švorc, David; Růžička, Miroslav; Bělinová, Zuzana

doi:10.3390/su13126873

Cited by 13 publications

(10 citation statements)

References 31 publications

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“…With the maximum transmission of car windows at 70% and lower with the use of tinting or film, thermal cameras have serious limitations. However, thermal cameras might be used in interesting applications [34,35], but in this field, they do not find great success. For our future work, we are planning to use multiple sensors and hyperspectral cameras with different wavelengths 380-1000 and 900-1700 nm and active illumination to achieve better performance.…”

Section: Discussionmentioning

confidence: 99%

Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

et al. 2021

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Many modern vehicles today are equipped with an on-board e-call system that can send information about the number of passengers in the event of an accident. However, in case of fire or other major danger in a road tunnel, it is very important for rescue services to know not only the number of passengers in a given vehicle that has an accident and called help via e-call but how many people are in the tunnel in total. This paper deals with the issue of passenger detection and counting using the TPH3008-S Thermal camera and the VIVOTEK IP7361 IP Cameras noninvasively, i.e., the cameras are placed outside the vehicle. These cameras have their limitations; therefore, we investigated how to improve conditions and how to make detection better for future work. The main goal of this article is to summarize the achieved results and possibilities of improvement of the proposed system by adding other sensors and systems that would improve the final score of passenger detection. The experimental results demonstrate that our approach has to be modified and we have to add additional sensors or change methods to achieve more promising results. The results, findings and conclusions might be later used in tunnels and highways and also be applied in telematics and lead to better, safer road transport and improvement of existing tunnel systems sustainability by utilizing resources in a smarter way.

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Section: Discussionmentioning

confidence: 99%

Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

et al. 2021

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“…The completed presented system prospectively offers a robust approach for vehicle detection and categorization of conventional and electric vehicles. The following research must be focused on the tests of the Haar cascade classifier with the higher resolution thermal stream of higher quality thermal camera with include our experience of testing [8].…”

Section: Discussionmentioning

confidence: 99%

“…Result of measurements establishes the criteria for each category and differentiates electric and conventional vehicles. The extraction and calculation of individuals pixels was described in our previous works [7,8].…”

Section: Introductionmentioning

confidence: 99%

An infrared video detection and categorization system based on machine learning

Švorc¹,

Tichý²,

Růžička³

2021

NNW

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The main aim of this paper is to present a new possibility for detection and recognition of different categories of electric and conventional (equipped with combustion engine) vehicles. These possibilities are provided by use of thermal and visual video cameras and two methods of machine learning. The used methods are Haar cascade classifier and convolutional neural network (CNN). The thermal images, obtained through an infrared thermography camera, were used for the training database. The thermal cameras can complement or substitute visible spectrum of video cameras and other conventional sensors and provide detailed recognition and classification data needed for vehicle type recognition. The first listed method was used as an object detector and serves for the localization of the vehicle on the road without any further classification. The second method was trained for vehicle recognition on the thermal image database and classifies a localized object according to one of the defined categories. The results confirmed that it is possible to use infrared thermography for vehicle drive categorization according to the thermal features of vehicle exteriors together with methods of machine learning for vehicle type recognition.

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“…Infrared imaging technology advancement has provided low-cost and mobile IR camera equipment. Nevertheless, low-cost IR cameras have a restriction in the form of fluctuating inaccuracies [27]. This paper uses low-cost IR cameras like FLIR One Gen 3.…”

Section: Methodsmentioning

confidence: 99%

Small Scale Aerial Monitoring for Human Body Temperature Measurement Using Rotary Wing Drone

Sani

Siregar

Hamdani

et al. 2023

JOIV : Int. J. Inform. Visualization

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In Indonesia, the COVID-19 pandemic has had an impact on a variety of sectors. Using all available technology for disaster mitigation is critical for pandemic prevention and control. Recent studies have uncovered the advantage of Unmanned Aerial Vehicle (UAV) or drones, particularly those with rotary wings, in dealing with the pandemic. Much effort has been devoted to developing a rotary-wing drone system as a flying platform for aerial monitoring. However, several factors must be considered when visually observing a specific region, i.e., the area's size, topographic contours, locations of special interest inside the area, approach points to the area, and the observation timeframe. Since fever is a common symptom of COVID-19, human body temperature monitoring is highlighted for fever screening, with the objective of minimizing people with high body temperatures going to the crowd. A major challenge is creating a system that can provide accurate body temperature data, which is critical for fighting the pandemic. The purpose of this paper is to present a rotary wing drone application for aerial human body temperature measurements. The paper also proposed an alternative solution based on using a portable, low-cost, Forward-looking Infrared (FLIR) thermal imaging camera. The FLIR thermal camera is incorporated into the drone's electronic system. Furthermore, thermal image data are transmitted into the ground station via a radio telemetry transceiver to allow flexible surveillance by the operator. Indoor and outdoor experiments reveal that the system has been effectively installed and provide data collection for further research. The results show that the system can be used for small-scale area aerial monitoring.

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Thermal Feature Detection of Vehicle Categories in the Urban Area

Cited by 13 publications

References 31 publications

Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras

An infrared video detection and categorization system based on machine learning

Small Scale Aerial Monitoring for Human Body Temperature Measurement Using Rotary Wing Drone

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