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Tricolor Attenuation Model for Shadow Detection [PDF]
IEEE Transactions on Image Processing, 2009 Shadows, the common phenomena in most outdoor scenes, bring many problems in image processing and computer vision. In this paper, we present a novel method focusing on extracting shadows from a single outdoor image. The proposed tricolor attenuation model (TAM) that describe the attenuation relationship between shadow and its nonshadow background is ...
Jiandong Tian, Jing Sun, Yandong Tang
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Shadow detection and removal using a shadow formation model
2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), 2016This work is devoted to shadow detection and removal from very high resolution (VHR) satellite images. As an example, a WorldView-2 satellite image of an urban area was processed. The presence of shadows can cause a loss of a significant part of useful information.
Yana I. Shedlovska +1 more
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Shadow Detecting and Shadow Interpolation Algorithm for InSAS
Advanced Materials Research, 2012The shadow detecting algorithm based on the coherence and the Sigma filter is used to pick up the shadow of interferometric synthetic aperture sonar (InSAS), which can eliminate small separated shadow areas. To solve the problems such as great computer complexity of traditional Shepard interpolation method and large fluctuant of linear interpolation ...
Sen Zhang, Ming Chen, Jin Song Tang
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A texture-based approach for shadow detection
Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005., 2006Shadows detection is a fundamental step in visual surveillance and monitoring systems. Shadow points are often misclassified as object points causing errors in localization, segmentation, measurements, tracking and classification of moving objects. In order to detect potential shadow points an automatic segmentation procedure is performed and, for all ...
A Leone, C Distante, F Buccolieri
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Shadow Detection and Removal Using GAN
2020 28th European Signal Processing Conference (EUSIPCO), 2021To remove shadowed region in a single image, it is important to obtain high accuracy in both two processes, shadow detection and removal. In order to improve the results, recent methods perform these two processes simultaneously and use GAN for the training.
Takahiro Nagae +3 more
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Robust road detection in shadow conditions
Journal of Electronic Imaging, 2016Image-based road detection is a vital task for many real-world applications, such as autonomous driving and obstacle detection. We propose a method for segmenting road regions from a single image based on horizon line estimation and clustering technology.
Kaiyue Lu +3 more
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Accelerated Shadow Detection and Removal Method
2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), 2019Shadows can have a negative effect on the ability of computer vision techniques for object detection, tracking, and recognition. Therefore, ability to remove shadows and byproducts of illumination is an important problem to enable effective object recognition actions. As applications move into levels of higher information extraction and higher required
Edward Richter +5 more
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Indoor shadow detection for video segmentation
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2005To prevent moving cast shadows from being misunderstood as part of moving objects in change detection based video segmentation, this paper proposes a novel approach to cast shadow detection based on the edge and region information in multiple frames. First, an initial change detection mask containing moving objects and cast shadows is obtained. Then, a
Dong Xu 0001 +3 more
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Shadow Detection by Integrating Multiple Features
18th International Conference on Pattern Recognition (ICPR'06), 2006Cast shadows of moving foreground objects in a scene often result in problems for many applications such as surveillance, object tracking/recognition, video content analysis and intelligent transportation systems. In this paper we presented an algorithm exploiting information of color, shading, texture, neighborhoods and temporal consistency to detect ...
Kuo-Hua Lo, Mau-Tsuen Yang
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A probabilistic approach for shadows modeling and detection
IEEE International Conference on Image Processing 2005, 2005The performance of a statistical image processing system depends in large part on the accuracy of the probabilistic model used. This paper presents a robust probabilistic mixture model based on the Dirichlet distribution. An unsupervised algorithm based on MML for learning this mixture is given, too.
Nizar Bouguila, Djemel Ziou
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