Image Processing in Thermal Cameras

Sosnowski, T.; Bieszczad, Grzegorz; Madura, H.

doi:10.1007/978-3-319-64674-9_3

Cited by 13 publications

(15 citation statements)

References 9 publications

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“…If the area of operation is safe to do so and time permits, then a semi‐autonomous, lower altitude mission can be flown by ground control station (software auto pilot) and a review made of recorded images performed. Such review could be manual (by an analyst) or potentially via automated image analysis software tools [23]. However, pin‐pointing the location of a detection by the post‐processing method is problematic, due to lack of environmental context, especially at night where direct correlation by the naked eye may be impossible.…”

Section: Discussionmentioning

confidence: 99%

“…Our data suggest that heat emitted from feeding maggot masses can be detected during peak feeding periods when insect population If the area of operation is safe to do so and time permits, then a semi-autonomous, lower altitude mission can be flown by ground control station (software auto pilot) and a review made of recorded images performed. Such review could be manual (by an analyst) or potentially via automated image analysis software tools [23].…”

Section: Discussionmentioning

confidence: 99%

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Application of forward‐looking infrared (FLIR) imaging from an unmanned aerial platform in the search for decomposing remains

Butters

Krosch

Roberts

et al. 2020

Journal of Forensic Sciences

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Police officers are often required to search geographically varied and large areas for human remains during the early stages of death investigations; including, misadventure, homicide, and mass casualties (e.g., terrorism, natural disasters). In many jurisdictions, current practice for searching large, open areas is by physical inspection by personnel, dogs trained to detect the scent of human decomposition (="cadaver dogs"), and aerial search using manned helicopters. Such methods have limitations, especially in rugged, dangerous, or densely

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Application of forward‐looking infrared (FLIR) imaging from an unmanned aerial platform in the search for decomposing remains

Butters

Krosch

Roberts

et al. 2020

Journal of Forensic Sciences

View full text Add to dashboard Cite

show abstract

“…In the literature, it is possible to encounter a categorization of methods into spatial and frequency domain [59,68,77] preprocessing, segmentation, feature extraction, and classification [97]. A different categorization can be found in [98], where a classification into histogram modification methods, point methods, and context-aware processing methods is presented, and Ćirić et al includes image segmentation and classification and specific features extraction among the main areas of image processing [99]. The sources also differ in indicating the sequence of the methods used.…”

Section: Referencementioning

confidence: 99%

“…According to [61], the simplest image processing methods that can be used to enhance the quality of thermal images are those based on contrast adjustment. Histogram equalization, a technique leading to an even redistribution of the brightness levels of individual pixels so that the resulting histogram is as flat as possible, is usually applied to optimize the image contrast [98]. The histogram equalization process is divided into three parts.…”

Section: Irt Image Preprocessingmentioning

confidence: 99%

Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review

et al. 2021

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Infrared thermography (IRT) is a noninvasive and safe method of displaying the temperature map of objects that can be used to detect hoof diseases and lameness to reduce significant financial costs and physically stress animals. A qualitative bibliometric method based on the analysis of publications by the authors themselves using sophisticated tools of scientific databases was applied in this work. This review presents the fundamentals of IRT as well as recent developments in IRT detection in dairy science, including preprocessing, segmentation, and classification of objects in IRT images. In addition, recent studies dealing with the detection of hoof diseases and lameness using IRT are reviewed. As a result of this study, select previous studies are confronted in terms of technical aspects of IRT measurements such as emissivity, distance, temperature range, and reflected air temperature. Subsequently, recommendations for future IRT measurements are discussed.

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“…A thermal camera is commonly used for security applications or to identify overheated equipment [6, 7]. The use of a thermal camera for identifying parking occupancy was not widely discussed in previous literature.…”

Section: Introductionmentioning

confidence: 99%

Deep learning‐based vehicle occupancy detection in an open parking lot using thermal camera

Paidi

Fleyeh

Nyberg

2020

IET intell. transp. syst

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Parking vehicle is a daunting task and a common problem in many cities around the globe. The search for parking space leads to congestion, frustration and increased air pollution. Information of a vacant parking space would facilitate to reduce congestion and subsequent air pollution. Therefore, aim of the paper is to acquire vehicle occupancy in an open parking lot using deep learning. Thermal camera was used to collect the data during varying environmental conditions such as; sunny, dusk, dawn, dark and snowy conditions. Vehicle detection with deep learning was implemented where image classification and object localization were performed for multi object detection. The dataset consists of 527 images which were manually labelled as there were no pre-labelled thermal images available. Multiple deep learning networks such as Yolo, ReNet18, ResNet50 and GoogleNet with varying layers and architectures were evaluated on vehicle detection. Yolo, GoogleNet and ResNet18 are computationally efficient detectors which took less processing time while Resnet50 produced better detection results compared to other detectors. However, ResNet18 also produced minimal miss rates and is suitable for real time vehicle detection. The detected results were compared with a template of parking spaces and IoU value is used to identify vehicle occupancy information.

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Image Processing in Thermal Cameras

Cited by 13 publications

References 9 publications

Application of forward‐looking infrared (FLIR) imaging from an unmanned aerial platform in the search for decomposing remains

Application of forward‐looking infrared (FLIR) imaging from an unmanned aerial platform in the search for decomposing remains

Application of the Machine Vision Technology and Infrared Thermography to the Detection of Hoof Diseases in Dairy Cows: A Review

Deep learning‐based vehicle occupancy detection in an open parking lot using thermal camera

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