Results 41 to 50 of about 34,811 (254)
Multi-Object Tracking in the Dark
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Accepted by ...
Xinzhe Wang +4 more
openaire +2 more sources
CollabMOT Stereo Camera Collaborative Multi Object Tracking
IEEE AccessThe recent advances in deep learning techniques enable 2D Multi-object tracking (MOT) to achieve remarkable performance over traditional methods. However, most 2D MOT algorithms primarily utilize only single-camera view.
Phong Phu Ninh, Hyungwon Kim
doaj +1 more source
Omnidirectional Multi-Object Tracking
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Accepted to CVPR 2025.
Kai Luo +8 more
openaire +2 more sources
Visual Multiple-object Tracking Algorithm Based on Motion Consistency
Kongzhi Yu Xinxi Jishu, 2023 The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without ...
YANG Hailang +5 more
doaj +3 more sources
Correlation‐guided multi‐object tracking with correlation feature transfer
IET Computer Vision, 2019 Here, the authors propose a correlation‐guided Monte Carlo Markov chain (MCMC) solver to promote the efficiency for tracking multiple objects under recursive Bayesian filtering framework.
Jiatong Li, Yanjie Zhao, Zhiguo Jiang
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely cancer diagnosis in children and adolescents is important to improving outcomes. We aimed to quantify time to diagnosis and assess variations by patient, demographic and system‐level factors. Procedure We conducted a population‐based study of individuals aged 0–19 years diagnosed with one of 12 cancers from 2010 to 2022 in ...
Callum Mullen +5 more
wiley +1 more source
Parallel algorithm implementation for multi‐object tracking and surveillance
IET Computer Vision, 2016 A recently developed sparse representation algorithm, has been proved to be useful for multi‐object tracking and this study is a proposal for developing its parallelisation. An online dictionary learning is used for object recognition.
Mohamed Elbahri +3 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source