Results 51 to 60 of about 4,979,837 (328)

Shadow-Based Vehicle Detection in Urban Traffic [PDF]

open access: yesSensors, 2017
Vehicle detection is a fundamental task in Forward Collision Avoiding Systems (FACS). Generally, vision-based vehicle detection methods consist of two stages: hypotheses generation and hypotheses verification. In this paper, we focus on the former, presenting a feature-based method for on-road vehicle detection in urban traffic.
Ibarra Arenado, Manuel José   +4 more
openaire   +5 more sources

ShadowDeNet: A Moving Target Shadow Detection Network for Video SAR

open access: yesRemote Sensing, 2022
Most existing SAR moving target shadow detectors not only tend to generate missed detections because of their limited feature extraction capacity among complex scenes, but also tend to bring about numerous perishing false alarms due to their poor ...
Jinyu Bao   +3 more
semanticscholar   +1 more source

DARCLOS: a cloud shadow detection algorithm for TROPOMI [PDF]

open access: yesAtmospheric Measurement Techniques, 2022
Cloud shadows are observed by the TROPOMI satellite instrument as a result of its high spatial resolution compared to its predecessor instruments. These shadows contaminate TROPOMI's air quality measurements, because shadows are generally not taken into ...
V. J. H. Trees   +7 more
doaj   +1 more source

Further Exploration of Deep Aggregation for Shadow Detection

open access: yesModern Innovations Systems and Technologies, 2022
Shadow detection is a fundamental challenge in the field of computer vision. It requires the network to understand the global semantics and local details of the image.
Islam Md Jahidul, Omar Faruq
semanticscholar   +1 more source

Fast Shadow Detection from a Single Image Using a Patched Convolutional Neural Network

open access: yes, 2018
In recent years, various shadow detection methods from a single image have been proposed and used in vision systems; however, most of them are not appropriate for the robotic applications due to the expensive time complexity. This paper introduces a fast
Hosseinzadeh, Sepideh   +2 more
core   +1 more source

Shadow detection in video surveillance by maximizing agreement between independent detectors [PDF]

open access: yes, 2009
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works ...
Martínez, José M.   +1 more
core   +2 more sources

Moving Cast Shadow Detection

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014
Motion perception is an amazing innate ability of the creatures on the planet. This adroitness entails a functional advantage that enables species to compete better in the wild. The motion perception ability is usually employed at different levels, allowing from the simplest interaction with the ’physis’ up to the most transcendental survival tasks ...
openaire   +3 more sources

An Adaptive Snake Based Shadow Segmentation for Robust Driver Fatigue Detection: A 3D Facial Feature Based Photometric Stereo Perspective

open access: yesIEEE Access, 2023
Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It is challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification.
Gulbadan Sikander   +4 more
doaj   +1 more source

Effective moving cast shadow detection for monocular color image sequences [PDF]

open access: yes, 2001
For an accurate scene analysis in monocular image sequences, a robust segmentation of a moving object from the static background is generally required. However, the existence of moving cast shadow may lead to an inaccurate object segmentation, and as a ...
Fung, SK, Lai, HS, Pang, GKH, Yung, NHC
core   +1 more source

Moving shadow detection and removal – a wavelet transform based approach

open access: yesIET Computer Vision, 2014
Shadow detection and removal is an important problem in computer vision. The real challenge in moving shadow detection and removal is to classify moving shadow points which are many times misclassified as moving object points in a video sequences ...
Manish Khare   +2 more
doaj   +1 more source

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