Building Shadow Detection on Ghost Images [PDF]
Remote Sensing, 2020 Although many efforts have been made on building shadow detection from aerial images, little research on simultaneous shadows detection on both building roofs and grounds has been presented. Hence, this paper proposes a new method for simultaneous shadow
Guoqing Zhou, Hongjun Sha
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Shadow Detection in Still Road Images Using Chrominance Properties of Shadows and Spectral Power Distribution of the Illumination [PDF]
Sensors, 2020 A well-known challenge in vision-based driver assistance systems is cast shadows on the road, which makes fundamental tasks such as road and lane detections difficult.
Manuel José Ibarra-Arenado +2 more
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Data augmentation and shadow image classification for shadow detection [PDF]
IET Image Processing, 2021 Abstract Shadow detection is an important branch of computer vision. Recently, convolutional neural network (CNN)‐based methods for shadow detection have achieved better performance than methods based on manually designed features. However, CNNs are extremely hungry for data and the training of CNN‐based shadow detector requires time ...
Guoquan Li 0001 +4 more
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A novel single robot image shadow detection method based on convolutional block attention module and unsupervised learning network [PDF]
Frontiers in Neurorobotics, 2022 Shadow detection plays a very important role in image processing. Although many algorithms have been proposed in different environments, it is still a challenging task to detect shadows in natural scenes.
Jun Zhang, Junjun Liu
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Learning Shadow Correspondence for Video Shadow Detection [PDF]
, 2022 Video shadow detection aims to generate consistent shadow predictions among video frames. However, the current approaches suffer from inconsistent shadow predictions across frames, especially when the illumination and background textures change in a video.
Xinpeng Ding +3 more
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Shadow Detection Based on Regions of Light Sources for Object Extraction in Nighttime Video [PDF]
Sensors, 2017 Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection.
Gil-beom Lee +4 more
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Insignificant shadow detection for video segmentation [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2005 To prevent moving cast shadows from being misunderstood as part of moving objects in change detection based\ud video segmentation, this paper proposes a novel approach to the cast shadow detection based on the edge and region information in multiple frames.
Dong Xu 0001 +4 more
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Shadow Detection and Compensation from Remote Sensing Images under Complex Urban Conditions
Remote Sensing, 2021 Due to the block of high-rise objects and the influence of the sun’s altitude and azimuth, shadows are inevitably formed in remote sensing images particularly in urban areas, which causes missing information in the shadow region.
Tingting Zhou +3 more
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Adaptive shadow detection using global texture and sampling deduction [PDF]
IET Computer Vision, 2013 An adaptive shadow detection algorithm is proposed to eliminate interference on object detection from the shadow. The algorithm uses three components in YUV colour space to identify shadow pixels from the candidate foreground.
Ke Jiang +4 more
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Learning From Synthetic Shadows for Shadow Detection and Removal [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2021 Accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), v2: fixed ...
Naoto Inoue, Toshihiko Yamasaki
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