scholarly journals Thermal Feature Detection of Vehicle Categories in the Urban Area

2021 ◽  
Vol 13 (12) ◽  
pp. 6873
Author(s):  
Tomáš Tichý ◽  
David Švorc ◽  
Miroslav Růžička ◽  
Zuzana Bělinová
Keyword(s):  
Infrared Thermography ◽  
Feature Detection ◽  
Thermal Analyses ◽  
Video Camera ◽  
Combustion Engines ◽  
Vehicle Class ◽  
Vehicle Type ◽  
Vehicle Propulsion ◽  
Thermal Features ◽  
Thermal Video

The main goal of this paper is to present new possibilities for the detection and recognition of different categories of electric and conventional (equipped with combustion engines) vehicles using a thermal video camera. The paper presents a draft of a possible detection and classification system of vehicle propulsion systems working with thermal analyses. The differences in thermal features of different vehicle categories were found out and statistically proved. The thermal images were obtained using an infrared thermography camera. They were utilized to design a database of vehicle class images of passenger vehicles (PVs), vans, and buses. The results confirmed the hypothesis that infrared thermography might be used for categorizing the vehicle type according to the thermal features of vehicle exteriors and machine learning methods for vehicle type recognition.

scholarly journals The use of thermography in the diagnosis of ship piston internal combustion engines

2018 ◽  
Vol 182 ◽  
pp. 01027
Author(s):  
Jan Monieta
Keyword(s):  
Infrared Thermography ◽  
Internal Combustion Engines ◽  
Experimental Studies ◽  
Internal Combustion ◽  
Technical Condition ◽  
Operating Conditions ◽  
Combustion Engines ◽  
Destructive Testing ◽  
Fault State ◽  
Floating Objects

The intensity of infrared radiation emitted by objects depends mainly on their temperature. One of the diagnostic signals may be the temperature field. In infrared thermography, this quantity is used as an indicator of the technical condition of marine objects. The article presents an overview of the use of infrared thermography for the diagnosis mainly of marine piston floating objects and various types of reciprocating internal combustion engines as well as examples of own research results. A general introduction to infrared thermography and common procedures for temperature measurement and non-destructive testing are presented. Experimental research was carried out both in laboratory conditions and in the operating conditions of sea-going vessels. Experimental studies consisted of the presentation of photographs of the same objects made in visible light and the use of infrared thermography. The same objects were also compared, but for different cylinders of the tested internal combustion engines as well as for the up state and fault state. The characteristics of the temperature values at selected points were taken depending on the engine load along with the approximation mathematical models of these dependencies.

scholarly journals Thermal analyses for a laser coloring method using an infrared thermography camera

2001 ◽  
Vol 21 (2Supplement) ◽  
pp. 155-158
Author(s):  
Masaru Kawarazaki ◽  
Noriyo Sakurada ◽  
Yoshio Ishii ◽  
Kazuhiro Watanabe ◽  
Yuzuru Kubota
Keyword(s):  
Infrared Thermography ◽  
Thermal Analyses

Automatic idexing of electron-backscatter diffraction patterns

1994 ◽  
Vol 52 ◽  
pp. 598-599
Author(s):  
S. I. Wright
Keyword(s):  
Feature Detection ◽  
Electron Backscatter Diffraction ◽  
Video Camera ◽  
Light Level ◽  
Lattice Orientation ◽  
Low Light ◽  
Diffraction Patterns ◽  
Digital Image Enhancement ◽  
Backscatter Diffraction

A typical Backscatter Kikuchi Diffraction pattern (BKD, also referred to in the literature as an EBSP or a BEKP) is shown in figure 1. Since the bands in the pattern represent planes in the diffracting volume, the lattice orientation can be determined from their geometrical arrangement. The task of correctly orienting a BKD can be broken into two parts: 1) finding the salient features in the pattern (either the diffraction bands or the intersections of the bands) and 2) using these features to determine the lattice orientation. Recent advances in feature detection in BKDs along with methods for digital image enhancement will be described in some detail. The determination of orientation from a set of detected bands (or intersections of bands) will also be discussed.Dingley has demonstrated that lattice orientation can be practically obtained from BKDs by imaging the diffraction patterns using a low light level video camera and indexing the patterns with the aid of an online computer.

scholarly journals Integration of Ground-Based Remote-Sensing and In Situ Multidisciplinary Monitoring Data to Analyze the Eruptive Activity of Stromboli Volcano in 2017–2018

2019 ◽  
Vol 11 (15) ◽  
pp. 1813 ◽  
Author(s):  
Flora Giudicepietro ◽  
Sonia Calvari ◽  
Salvatore Alparone ◽  
Francesca Bianco ◽  
Alessandro Bonaccorso ◽  
...  
Keyword(s):  
Video Camera ◽  
Geochemical Data ◽  
Monitoring Networks ◽  
Stromboli Volcano ◽  
Eruptive Activity ◽  
Magma Supply ◽  
Multidisciplinary Data ◽  
Thermal Video

After a period of mild eruptive activity, Stromboli showed between 2017 and 2018 a reawakening phase, with an increase in the eruptive activity starting in May 2017. The alert level of the volcano was raised from “green” (base) to “yellow” (attention) on 7 December 2017, and a small lava overflowed the crater rim on 15 December 2017. Between July 2017 and August 2018 the monitoring networks recorded nine major explosions, which are a serious hazard for Stromboli because they affect the summit area, crowded by tourists. We studied the 2017–2018 eruptive phase through the analysis of multidisciplinary data comprising thermal video-camera images, seismic, geodetic and geochemical data. We focused on the major explosion mechanism analyzing the well-recorded 1 December 2017 major explosion as a case study. We found that the 2017–2018 eruptive phase is consistent with a greater gas-rich magma supply in the shallow system. Furthermore, through the analysis of the case study major explosion, we identified precursory phases in the strainmeter and seismic data occurring 77 and 38 s before the explosive jet reached the eruptive vent, respectively. On the basis of these short-term precursors, we propose an automatic timely alarm system for major explosions at Stromboli volcano.

scholarly journals Thermographic imaging of mouse across circadian time reveals body surface temperature elevation associated with non-locomotor body movements

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252447
Author(s):  
Hiroyuki Shimatani ◽  
Yuichi Inoue ◽  
Yota Maekawa ◽  
Takahito Miyake ◽  
Yoshiaki Yamaguchi ◽  
...  
Keyword(s):  
Locomotor Activity ◽  
Body Temperature ◽  
Video Camera ◽  
Video Imaging ◽  
Circadian Time ◽  
Infrared Video ◽  
Locomotor Activities ◽  
Body Surface Temperature ◽  
Temporal Profiles ◽  
Thermal Video

Circadian clocks orchestrate multiple different physiological rhythms in a well-synchronized manner. However, how these separate rhythms are interconnected is not exactly understood. Here, we developed a method that allows for the real-time simultaneous measurement of locomotor activity and body temperature of mice using infrared video camera imaging. As expected from the literature, temporal profiles of body temperature and locomotor activity were positively correlated with each other. Basically, body temperatures were high when animals were in locomotion. However, interestingly, increases in body temperature were not always associated with the appearance of locomotor activity. Video imaging revealed that mice exhibit non-locomotor activities such as grooming and postural adjustments, which alone induce considerable elevation of body temperature. Noticeably, non-locomotor movements always preceded the initiation of locomotor activity. Nevertheless, non-locomotor movements were not always accompanied by locomotor movements, suggesting that non-locomotor movements provide a mechanism of thermoregulation independent of locomotor activity. In addition, in the current study, we also report the development of a machine learning-based recording method for the detection of circadian feeding and drinking behaviors of mice. Our data illustrate the potential utility of thermal video imaging in the investigation of different physiological rhythms.

scholarly journals The suitability of internal combustion engine sounds as artificial warning sounds for electric and hybrid vehicles

2014 ◽  
Vol 26 (4) ◽  
pp. 271-280
Author(s):  
Ivan Bolkovac ◽  
Marko Horvat ◽  
Kristian Jambrošić ◽  
Hrvoje Domitrović
Keyword(s):  
Electric Vehicles ◽  
Traffic Safety ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Hybrid Vehicles ◽  
Combustion Engines ◽  
Modes Of Operation ◽  
Vehicle Type ◽  
Preliminary Examination

The paper discusses the issue of adding artificial warning sounds to hybrid and fully electric vehicles, in order to increase traffic safety by making these vehicles audible at low speeds. The goal of this modification is to enable the pedestrians to perceive possible danger coming from such a vehicle in time to respond accordingly. Following the results of previous research which state that the sounds of internal combustion engines are valid candidates for artificial warning sounds to be added to hybrid or fully electric vehicles, a preliminary examination of the suitability and acceptability of different engine sounds in various modes of operation has been conducted. The chosen modes of operation are running in idle, at 2000 rpm and 3000 rpm with the vehicle stopped. Both gasoline and diesel engines were investigated. To expand the range of engine sounds, the type of vehicles was not limited to personal cars. The results show significant differences in suitability of engine sounds for the stated purpose, with vehicle type being the main differentiating factor.

Study on Infrared Thermography Mosaic Algorithm Based on the Feature Point Detection and Registration

2012 ◽  
Vol 594-597 ◽  
pp. 1138-1142
Author(s):  
Ji Tong Jiang ◽  
Chao Song ◽  
Jun An
Keyword(s):  
Image Fusion ◽  
Infrared Thermography ◽  
Feature Detection ◽  
Feature Point ◽  
Thermal Method ◽  
Image Mosaic ◽  
Image Transformation ◽  
Feature Registration ◽  
Infrared Thermograph ◽  
Point Detection

When detecting the large objects by infrared thermal method, it is difficult to get a whole panoramic picture. So it needs to stitch some infrared thermography. Image mosaic includes 4 steps, feature detection, feature registration, image transformation and image fusion. This paper studies about an infrared thermograph mosaic algorithm based on the feature point detection and registration, and realizes it in MATLAB.

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