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Reconstructed Saliency for Infrared Pedestrian Images
2019
IEEE Access
Preserved Fulltext
Then, considering the essential characteristic of the infrared pedestrian images, thermal radiation prior, and pedestrian shape prior was combined to construct infrared object prior information. ...
In this paper, we introduce a reconstruction optimization-based saliency detection method for infrared pedestrian images to solve the problem. ...
ACKNOWLEDGMENT This paper was presented in part at MMSP 2015 [29] . ...
doi:10.1109/access.2019.2906332
fatcat:gs4wuotd7fdplgjeg5rmz3c6we
Mutual Guidance-based Saliency Propagation for Infrared Pedestrian Images
2019
IEEE Access
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In this paper, an effective propagation based saliency detection method for infrared pedestrian images is proposed. ...
Firstly, based on the thermal characteristics of infrared images and thermal radiation models, a thermal analysis based saliency (TAS) is introduced. ...
[1] first calculate the background likelihood with background prior, and then use a Bayesian model to obtain the object prior based saliency. ...
doi:10.1109/access.2019.2933310
fatcat:saeqvkz33vaole5kws2yll3nkq
Far-Infrared Object Segmentation Focus on Transmission of Overall Semantic Information
2020
IEEE Access
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A large number of experiments confirm the effectiveness and robustness of the network in far-infrared images and verify that the dataset released in this article has strong reference significance. ...
In the vision task of a self-driving system, the use of visible light images to segment an object often loses its functionality at night or in harsh weather. ...
ACKNOWLEDGMENT (Ying Zang and Bo Yu are co-first authors.) ...
doi:10.1109/access.2020.3028656
fatcat:l3uaytjfkzg2bh4qqwtiaz3dyy
A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach
2020
Journal of Information Processing Systems
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In this paper, we introduce a simple approach for saliency detection in infrared images based on the thresholding technique. ...
However, the number of methods for saliency detection in infrared images is limited. ...
This weighting scheme is based on the observation that infrared imaging captures the temperature of objects. ...
doi:10.3745/jips.02.0145
dblp:journals/jips/TruongK20
fatcat:ffwxzvwegjgudgkph6khbirhlu
Semantic Segmentation for Thermal Images: A Comparative Survey
[article]
2022
arXiv
pre-print
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The accuracy of pixel-level classification can be affected by many factors, such as imaging limitations and the ambiguity of object boundaries in an image. ...
One approach is to use both visible and infrared spectrum images as inputs. ...
The generator of the IPS-cGAN is based on Unet [25] with two modifications so that a more suitable network for thermal infrared pedestrian segmentation is obtained. ...
arXiv:2205.13278v1
fatcat:cz4xqv6oubhmtnacphwwyvfyrm
Robust Infrared Superpixel Image Separation model for small target detection
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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SVT-EW effectively resolves the background residuals in gray-based threshold segmentation, and therefore generates precise target detection results. ...
In SLIC, an optional range of superpixels numbers is specified to robustly implement superpixel segmentation strategy on low resolution infrared images. ...
SLIC preserves the autocorrelation of the background while segmenting the image, but there are still boundary lines in the masking image. ...
doi:10.1109/jstars.2021.3116965
fatcat:2m3nwjjarvftpirljqaacmtr2m
Thermal-Infrared Remote Target Detection System for Maritime Rescue based on Data Augmentation with 3D Synthetic Data
[article]
2023
arXiv
pre-print
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Therefore, we suggest a domain adaptation algorithm in a target-background separated manner from 3D game-to-real, based on a generative model, to address this issue. ...
Furthermore, a segmentation network with fixed-weight kernels at the head is proposed to improve the signal-to-noise ratio (SNR) and provide weak attention, as remote TIR targets inherently suffer from ...
In this paper, a thermal-infrared remote target detection system for maritime rescue is proposed with data augmentation following a segmentation network based on fixed-weight kernels [30] . ...
arXiv:2310.20412v1
fatcat:ofdyxgmchjfuxcqghcz5m7nuom
Structure from Infrared Stereo Images
2008
2008 Canadian Conference on Computer and Robot Vision
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A simple threshold-based segmentation was used to locate pedestrian hypotheses in the image, by finding bright regions. ...
Fore example, in pedestrian detection, the presence of halo around pedestrians can help the threshold/contrast-based segmentation methods to detect the pedestrians easier; e.g., in [16] , Davis and Sharma ...
The Delaunay triangulation for a set P of points in the plane is the triangulation ) (P DT , defined as follows: ...
doi:10.1109/crv.2008.9
dblp:conf/crv/HajebiZ08
fatcat:x5b5y5sjjzgojidy7xmhuym2ei
Part based pedestrian detection based on Logic inference
2013
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
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Part based pedestrian detection based on logic inference. En: ...
works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ...
Parts SVMs For each cell in the pedestrian descriptor an SVM classifier calculates the boundary between the pedestrian and background classes by searching the hyperplane that maximally separates the training ...
doi:10.1109/itsc.2013.6728421
dblp:conf/itsc/OlmedaAE13
fatcat:44rp6dyysbf4fhcxbrz2kwbq2q
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification
2007
2007 IEEE Conference on Computer Vision and Pattern Recognition
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The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temperatures. ...
After capturing the coordinates and dimensions of moving objects we apply a pedestrian classifier based on periodic gait analysis. ...
A generalized Expectation Maximization algorithm has been employed by the authors to decompose infrared images into background and foreground layers. ...
doi:10.1109/cvpr.2007.383444
dblp:conf/cvpr/LeykinRH07
fatcat:2yekpii67vawxljl5wfzstft44
Pedestrian tracking by fusion of thermal-visible surveillance videos
2008
Machine Vision and Applications
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Second, based on our background model we introduce a pedestrian tracker designed as a particle filter. ...
In this paper we introduce a system to track pedestrians using a combined input from RGB and thermal cameras. Two major contributions are presented here. ...
A generalized Expectation Maximization algorithm has been employed by the authors to decompose infrared images into background and foreground layers. ...
doi:10.1007/s00138-008-0176-5
fatcat:x5ah4jvl2rctfkbptxiy64fpqy
Supervised evolutionary learning: Use of gradient histogram & particle swarm algorithm to detection & tracking pedestrian in sequence of infrared images
2021
Innovaciencia
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Recently, tracking and pedestrian detection from various images have become one of the major issues in the field of image processing and statistical identification. ...
Gradient histograms have a high effect on extracting features in infrared images. ...
., 2015 tracked the objectives through image threshold and background subtraction algorithm in sample infrared images. Rajkumar et al., 2015 also employed local thresholds to find pedestrians. ...
doi:10.15649/2346075x.2319
fatcat:534qzqvqkzcivhfl5uwqcucp7y
An Unpaired Thermal Infrared Image Translation Method Using GMA-CycleGAN
2023
Remote Sensing
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To enhance the boundary gradient between the object (pedestrian and vehicle) and the background, a mask attention module based on the TIR temperature mask and the CV semantic mask is designed without increasing ...
(GMA-CycleGAN) is proposed in this work in order to translate TIR images to grayscale visible (GV) images. ...
The mask attention mechanism helps in improving the texture of salient objects (pedestrians and vehicles) to meet the needs of object detection and semantic segmentation in practical applications. ...
doi:10.3390/rs15030663
fatcat:wbfnla4vrfepnpu5fzzo75adlm
Anchor-free Small-scale Multispectral Pedestrian Detection
[article]
2020
arXiv
pre-print
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Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR) image pairs are well-suited for practical applications like autonomous driving or visual surveillance. ...
We aim at learning pedestrian representations based on object center and scale rather than direct bounding box predictions. ...
One exceptionally well-suited additional modality are thermal infrared (IR) images: since humans often have a higher temperature compared to the surrounding background, their emitted radiation can be sensed ...
arXiv:2008.08418v2
fatcat:epkg3zggx5bkrchhzth57gbyoe
Unpaved road detection based on spatial fuzzy clustering algorithm
2018
EURASIP Journal on Image and Video Processing
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In this paper, a novel algorithm is proposed to improve the accuracy and robustness of unpaved road detection and boundary extraction with low computational costs. ...
The novelties of this paper are as follows: (1) We use a normal distribution with infrared images to detect the vanishing line, and a trapezoid prediction model is proposed according to the road shape ...
Availability data and materials Not applicable. ...
doi:10.1186/s13640-018-0260-3
fatcat:3bdokrwdaba37lbljhpqso2dga
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