Results 11 to 20 of about 2,939,416 (298)
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Learning Shadow Correspondence for Video Shadow Detection
, 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
core +6 more sources
Illumination invariance and shadow compensation on hyperspectral images [PDF]
, 2014 To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
core +7 more sources
Mask R-CNN for Moving Shadow Detection and Segmentation [PDF]
IJCI International Journal of Computers and Information, 2021 One of the primary tasks of completing and developing many computer vision applications is to identify and remove shadow regions. Most existing moving shadow detection methods depend on extracting hand-crafted features of object and shadow regions ...
Khalid Amin, Ahmed Hamad, Hend Bakr
doaj +1 more source
Fine-Context Shadow Detection using Shadow Removal
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Current shadow detection methods perform poorly when detecting shadow regions that are small, unclear or have blurry edges. In this work, we attempt to address this problem on two fronts. First, we propose a Fine Context-aware Shadow Detection Network (FCSD-Net), where we constraint the receptive field size and focus on low-level features to learn fine
Jeya Maria Jose Valanarasu +1 more
openaire +2 more sources
An Approach for Shadow Detection in Aerial Images Based on Multi-Channel Statistics
IEEE Access, 2021 Shadows are likely to cause flaws in color interpretation, loss of image information or deformation of objects; this is a relevant issue owing to the fact that with the development of unmanned aerial vehicles and satellite devices, object detection by ...
Gilberto Alvarado-Robles +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Shadows can hinder image interpretation in aerial remote sensing images. The existing shadow detection methods focus on all shadow regions and detect the shadow regions directly, but they ignore the fact that salient shadows have a more significant ...
Shuang Luo +4 more
doaj +1 more source
Moving Target Shadow Analysis and Detection for ViSAR Imagery
Remote Sensing, 2021 The video synthetic aperture radar (ViSAR) is a new application in radar techniques. ViSAR provides high- or moderate-resolution SAR images with a faster frame rate, which permits the detection of the dynamic changes in the interested area.
Zhihua He +5 more
doaj +1 more source