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Adaptive Object Detection and Visibility Improvement in Foggy Image

Nan Dong, Zhen Jia, Jie Shao, Zhipeng Li, Fuqiang Liu, Jianwei Zhao, Pei-Yuan Peng
2011 Journal of Multimedia  
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]

Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang, Jia sun
2020 arXiv   pre-print
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  
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

Yong Xu, Jie Wen, Lunke Fei, Zheng Zhang
2016 IEEE Access  
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]

Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool
2018 Lecture Notes in Computer Science  
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]

Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool
2018 arXiv   pre-print
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]

Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang
2022 arXiv   pre-print
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  
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

Ekta Chauhan
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
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

Nguyen Anh Minh Mai, Pierre Duthon, Louahdi Khoudour, Alain Crouzil, Sergio A. Velastin
2021 Sensors  
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

Harjeet Kaur, Silky Narang
2016 Indian Journal of Science and Technology  
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  
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

N. Hautiere, R. Labayrade, D. Aubert
2006 IEEE transactions on intelligent transportation systems (Print)  
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

J-P Tarel, N. Hautiere, L. Caraffa, A. Cord, H. Halmaoui, D. Gruyer
2012 IEEE Intelligent Transportation Systems Magazine  
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

Debashis Nandi, Manas Sarkar, Priyanka Rakshit Sarkar, Ujjwal Mondal
2020 IET Image Processing  
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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