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Adaptive Object Detection and Visibility Improvement in Foggy Image
2011
Journal of Multimedia
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In this paper we propose a novel algorithm to detect foreground objects from video sequences with fog and then enhance their visibilities. ...
Once the foreground object is detected, we enhance its visibility only to avoid processing the whole image. ...
In this paper, to solve the problem of extracting interesting objects in a foggy image, we propose a novel algorithm to detect foreground objects and enhance their visibilities at the same time. ...
doi:10.4304/jmm.6.1.14-21
fatcat:uy76a4jsyvc25pxice5puictva
Deep Domain Adaptive Object Detection: a Survey
[article]
2020
arXiv
pre-print
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However, the two assumptions are not always hold in practice. Deep domain adaptive object detection (DDAOD) has emerged as a new learning paradigm to address the above mentioned challenges. ...
Deep learning (DL) based object detection has achieved great progress. ...
improve the performance of object detection. ...
arXiv:2002.06797v3
fatcat:mozths3lk5djndue6dzefxuq3q
Deep Learning Model for A Driver Assistance System to Increase Visibility on A Foggy Road
2020
Advances in Science, Technology and Engineering Systems
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the object detection achievement on blurred images with mean Average Precision (mAP) equal to 0.933 during the day and 0.804 at night. ...
As in addition, we concatenate our model with the faster RCNN for detecting objects on the road in real time. ...
-Detection of objects in the Light haze image with adaptive Faster R-CNN before and after dehazing. • At night: -Detection of objects in the Medium haze image with adaptive Faster R-CNN before and after ...
doi:10.25046/aj050437
fatcat:b24xsaxgprfl3otvtgbxvz22pu
Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement
2016
IEEE Access
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We first presented a review of the detection and classification method of a foggy image. ...
Video and images acquired by a visual system are seriously degraded under hazy and foggy weather, which will affect the detection, tracking, and recognition of targets. ...
DETECTION OF FOGGY AREAS IN IMAGES Two methods are able to detect the foggy areas of the image. ...
doi:10.1109/access.2015.2511558
fatcat:6zvh476zkvhztogza6goi7t3cq
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
[chapter]
2018
Lecture Notes in Computer Science
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both synthetic and real foggy data. ...
Zurich dataset comprising 3808 real foggy images, with pixel-level semantic annotations for 16 images with dense fog. ...
Foggy Scene Understanding Typical examples in this line include road and lane detection [3] , traffic light detection [28] , car and pedestrian detection [19] , and a dense, pixel-level segmentation ...
doi:10.1007/978-3-030-01261-8_42
fatcat:7dkwfl7arzcb3lifg7xk3q55da
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
[article]
2018
arXiv
pre-print
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both synthetic and real foggy data. ...
Zurich dataset comprising 3808 real foggy images, with pixel-level semantic annotations for 16 images with dense fog. ...
Foggy Scene Understanding Typical examples in this line include road and lane detection [3] , traffic light detection [28] , car and pedestrian detection [19] , and a dense, pixel-level segmentation ...
arXiv:1808.01265v1
fatcat:ij4alc7adrhg5kj4yqyfow4lzi
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2112.08088v1 fatcat:eluhlcoyn5gv3nlbvpmzo6brba
The existing methods either have difficulties in balancing the tasks of image enhancement and object detection, or often ignore the latent information beneficial for detection. ...
Our proposed IA-YOLO approach can adaptively process images in both normal and adverse weather conditions. ...
Acknowledgments This work is supported by National Natural Science Foundation of China under Grants (61831015) and Hong Kong RGC RIF Grant (R5001-18). ...
arXiv:2112.08088v2
fatcat:qckewmxmvjci5fbjcl5j5irhfa
A Robust Technique to Remove Fog from Single Image
2019
International journal of recent technology and engineering
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Images captured in foggy/hazy environment suffers from poor visibility due to the increase of whiteness and low contrast. ...
It affects vision applications used in object identification, surveillance, tracking and target setting. ...
which is specially used to enhance contrast and improve color objects in images I 11
D. ...
doi:10.35940/ijrte.b2758.078219
fatcat:hxg4r56qcrc6ljpk5jx5rmsf5u
A Hybrid Technique for Remove Fog from Image using Edges and Color Enhancement Method, Adjustable Empirical Function with Wiener Filter
2016
International Journal of Signal Processing, Image Processing and Pattern Recognition
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Less visibility often happens weather of hazy or foggy conditions and can strongly influence accuracy or even general functionality of such vision systems. ...
In this paper, present a novel algorithm for fog or haze removal purpose with combination of edge enhancement method, color enhancement method, adjustable empirical function and also Wiener filter for ...
Under foggy weather conditions, the color and image contrast, are drastically degraded. This degradation level improved with the distance from the camera to the object. ...
doi:10.14257/ijsip.2016.9.2.32
fatcat:32mlhcjbz5f3jkpzgdpsagweem
3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions
2021
Sensors
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We conducted experiments on the KITTI and the proposed Multifog KITTI datasets which show that, before any improvement, performance is reduced by 42.67% in 3D object detection for Moderate objects in foggy ...
The purpose of this study is to analyze the effects of fog on the detection of objects in driving scenes and then to propose methods for improvement. ...
Indeed, performance is greatly reduced for 3D object detection in foggy scenes but by training both with a normal and a synthetic dataset, performance may be improved. ...
doi:10.3390/s21206711
pmid:34695925
pmcid:PMC8540926
fatcat:q2f2ojudljge3l3navjmzhgvbm
Enhanced VOT on Foggy Videos Using Probabilistic Estimation Scheme
2016
Indian Journal of Science and Technology
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In case of visual tracking and object detection, multi-scale detection methods constitute to combine the effort of object detection in spatial scale using BPDM with Color Mean Filter (CMF) and a defogging ...
In this system an existing filter for binary conversion and color filtering was used to evaluate and estimate the trajectory of the tracked objects in foggy weather affected videos. ...
So it is important to design an image defogging algorithm to improve the environmental adaptability of the visual system 15 . ...
doi:10.17485/ijst/2015/v8i1/97648
fatcat:xj2ygf7inngmll4gwvkqmtba4m
A Survey on the Enhancement of Hazy Images
2017
International Journal of Recent Trends in Engineering and Research
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After enhancement is again restored the enhanced image by restoration methods. For improving the visibility level 4 major steps are used. ...
Images degraded by fog adversely affect the quality of vision-based physical security system. This leads to accidents in air, on sea and on the road. ...
Here, firstly image fogginess is detected and then different image restoration methods are applied to enhance the image quality. ...
doi:10.23883/ijrter.2017.3383.jfojz
fatcat:c2xmrpfilzdpdbk2xlpa4ehlmq
Real-Time Disparity Contrast Combination for Onboard Estimation of the Visibility Distance
2006
IEEE transactions on intelligent transportation systems (Print)
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The method is operative night and day in every kind of meteorological condition and is evaluated; thanks to video sequences under sunny weather and foggy weather. ...
Moreover, a system capable of either detecting the presence of fog or estimating visibility distances constitutes in itself a driving assistance. ...
Fig. 2 . 2 Images captured in the vehicle (a) under sunny weather, (b) under foggy weather, and (c) under dense foggy weather before nightfall. ...
doi:10.1109/tits.2006.874682
fatcat:xycojyv34nau3nqbe53v3ziw7q
Vision Enhancement in Homogeneous and Heterogeneous Fog
2012
IEEE Intelligent Transportation Systems Magazine
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Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement in road images. ...
The visibility enhancement algorithm proposed in [1] is not optimized for road images. In this paper, we reformulate the problem as the inference of the local atmospheric veil from constraints. ...
Notice the contrast increase for the farther objects: some objects which were barely visible in foggy image appear clearly in enhanced images. ...
doi:10.1109/mits.2012.2189969
fatcat:6pjcppr7p5c57bapgcrqf2z6xa
Empirical Wavelet Transform Based Fog Removal via Dark Channel Prior
2020
IET Image Processing
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system, object detection. ...
Haze and fog removing from videos and images has got massive concentration in the field of video and image processing because videos and images are severely affected by fog in tracking and surveillance ...
Introduction Many systems in computer vision applications, like navigation, tracking, and surveillance, object detection etc. have suffered from fog and haze since fog in the atmosphere degrades the visibility ...
doi:10.1049/iet-ipr.2019.0496
fatcat:6yqceju6ljbchgg4rvjtptrd4m
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