Efficient background subtraction for thermal images using reflectional symmetry pattern (RSP)

Jeyabharathi, D.; Dejey,

doi:10.1007/s11042-018-6220-1

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…Jeon et al [14] fused the result of background subtraction-pixel difference image-with edge pixel information for each video frame to detect pedestrians. Jeyabharathi and Dejay [15] proposed a detection method based on Reflectional Symmetrical Patterns (RSP). Successive frame differencing is used as an initial processing step, while RSP is used to create a subspace for background modelling.…”

Section: Related Workmentioning

confidence: 99%

Automatic Dynamic Range Adjustment for Pedestrian Detection in Thermal (Infrared) Surveillance Videos

Oluyide

Tapamo

Walingo

2022

Sensors

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This paper presents a novel candidate generation algorithm for pedestrian detection in infrared surveillance videos. The proposed method uses a combination of histogram specification and iterative histogram partitioning to progressively adjust the dynamic range and efficiently suppress the background of each video frame. This pairing eliminates the general-purpose nature associated with histogram partitioning where chosen thresholds, although reasonable, are usually not suitable for specific purposes. Moreover, as the initial threshold value chosen by histogram partitioning is sensitive to the shape of the histogram, specifying a uniformly distributed histogram before initial partitioning provides a stable histogram shape. This ensures that pedestrians are present in the image at the convergence point of the algorithm. The performance of the method is tested using four publicly available thermal datasets. Experiments were performed with images from four publicly available databases. The results show the improvement of the proposed method over thresholding with minimum-cross entropy, the robustness across images acquired under different conditions, and the comparable results with other methods in the literature.

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Section: Related Workmentioning

confidence: 99%

Automatic Dynamic Range Adjustment for Pedestrian Detection in Thermal (Infrared) Surveillance Videos

Oluyide

Tapamo

Walingo

2022

Sensors

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“… Jeon et al (2015) created a background model using pixel difference image and combined edge information with the result of background subtraction to detect the pedestrians. Jeyabharathi & Dejey (2018) made use of frame differencing to extract likely pedestrian regions and reflectional symmetrical patterns to provide geometrical information for accurate background modelling. Motion is one feature that can cut across a wide range of infrared images.…”

Section: Related Workmentioning

confidence: 99%

A semi-automatic motion-constrained Graph Cut algorithm for Pedestrian Detection in thermal surveillance videos

Oluyide¹,

Tapamo²,

Walingo³

2022

PeerJ Computer Science

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This article presents a semi-automatic algorithm that can detect pedestrians from the background in thermal infrared images. The proposed method is based on the powerful Graph Cut optimisation algorithm which produces exact solutions for binary labelling problems. An additional term is incorporated into the energy formulation to bias the detection framework towards pedestrians. Therefore, the proposed method obtains reliable and robust results through user-selected seeds and the inclusion of motion constraints. An additional advantage is that it enables the algorithm to generalise well across different databases. The effectiveness of our method is demonstrated on four public databases and compared with several methods proposed in the literature and the state-of-the-art. The method obtained an average precision of 98.92% and an average recall of 99.25% across the four databases considered and outperformed methods which made use of the same databases.

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“…IRT images provide indisputable advantages for direct retrieval of the surface temperature distribution of the observed object, but also for detection and identification of objects emitting thermal radiation under low-light conditions, when recording of the visible spectrum is insufficient [57,58], or for detection of defects of the observed object that cannot be recorded by conventional photosensors [59][60][61]. However, images captured with thermal imaging sensors currently still have a significantly lower resolution than images taken with standard image sensors designed to capture the visible spectrum [62].…”

Section: Recent Developments In Irt Detectionmentioning

confidence: 99%

“…The highest-resolution thermal image for the sources examined was 640 × 512 pixels. Another characteristic drawback of IRT images is low contrast and a significant amount of noise, with the typical feature of IRT images being blurred edges of the observed object contrary to the image in the visual range [57,63].…”

Section: Recent Developments In Irt Detectionmentioning

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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Efficient background subtraction for thermal images using reflectional symmetry pattern (RSP)

Cited by 7 publications

References 24 publications

Automatic Dynamic Range Adjustment for Pedestrian Detection in Thermal (Infrared) Surveillance Videos

Automatic Dynamic Range Adjustment for Pedestrian Detection in Thermal (Infrared) Surveillance Videos

A semi-automatic motion-constrained Graph Cut algorithm for Pedestrian Detection in thermal surveillance videos

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

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