Results 71 to 80 of about 384,568 (276)
A Motion Tracking System Based on The Polynomial Expansion and Harris Corner
Journal of Harbin University of Science and Technology, 2017 A motion tracking system based on polynomial expansion inter － frame estimation and Harris corner detection is proposed． The system transforms the video monitoring image into grayscale in order to feature extract， then determines the interested area to ...
YANG Guang-xue +4 more
doaj +1 more source
, 2017 The last decade has seen a surge of interest in adaptive learning algorithms for data stream classification, with applications ranging from predicting ozone level peaks, learning stock market indicators, to detecting computer security violations.
Paquet, Eric +2 more
core +1 more source
Harris corner detection on a NUMA manycore [PDF]
Future Generation Computer Systems, 2018 Corner detection is a key kernel for many image processing procedures including pattern recognition and motion detection. The latter, for instance, mainly relies on the corner points for which spatial analyses are performed, typically on (probably live) videos or temporal flows of images. Thus, highly efficient corner detection is essential to meet the
Haggui, Olfa +4 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman +9 more
wiley +1 more source
Detecting Objects as Cascade Corners
CoRRThe corner-based detection paradigm enjoys the potential to produce high-quality boxes. But the development is constrained by three factors: 1) Hard to match corners. Heuristic corner matching algorithms can lead to incorrect boxes, especially when similar-looking objects co-occur. 2) Poor instance context.
Chenglong Liu +6 more
openaire +3 more sources
Corner‐based object detection method for reactivating box constraints
IET Image Processing, 2022 Corner‐based detectors usually generate a large number of false detection boxes because of insufficient attention to the detection area. Recent corner‐based detectors can achieve good performance, but the training equipment requirements have greatly ...
Guoqing Zhao +2 more
doaj +1 more source
Lunar laser ranging in infrfared at hte Grasse laser station
, 2017 For many years, lunar laser ranging (LLR) observations using a green wavelength have suffered an inhomogeneity problem both temporally and spatially.
Aimar, M. +11 more
core +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
CoMaL Tracking: Tracking Points at the Object Boundaries
, 2017 Traditional point tracking algorithms such as the KLT use local 2D information aggregation for feature detection and tracking, due to which their performance degrades at the object boundaries that separate multiple objects.
Mittal, Anurag +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source