Real-time road traffic density estimation using block variance
The increasing demand for urban mobility calls for a robust real-time traffic monitoring
system. In this paper we present a vision-based approach for road traffic density estimation …
system. In this paper we present a vision-based approach for road traffic density estimation …
Health assistant wearable-based data science system model: a pilot study
The rapid development of Information and Communication Technology (ICT) has an impact
on the innovation of new technology that gives benefits for health. One of its latest …
on the innovation of new technology that gives benefits for health. One of its latest …
GPU-accelerated multivariate empirical mode decomposition for massive neural data processing
This paper presents an efficient implementation of multivariate empirical mode
decomposition (MEMD) algorithm, a multivariate extension of EMD algorithm. Analogous to …
decomposition (MEMD) algorithm, a multivariate extension of EMD algorithm. Analogous to …
Optimizing a Bank of Kalman Filters for Navigation Integrity
LE Sepulveda - 2021 - scholar.afit.edu
Alternative navigation is an area of research which employs a variety of sensor technologies
to provide a navigation solution in Global Navigation Satellite System degraded or denied …
to provide a navigation solution in Global Navigation Satellite System degraded or denied …
A new fusion framework for motion segmentation in dynamic scenes
L Khelifi, M Mignotte - International Journal of Image and Data …, 2021 - Taylor & Francis
Motion segmentation in dynamic scenes is currently widely dominated by parametric
methods based on deep neural networks. The present study explores the unsupervised …
methods based on deep neural networks. The present study explores the unsupervised …
[PDF][PDF] Unsupervised Learning Consensus Model to Segment Dynamic Texture Video
L Khelifi, M Mignotte - iro.umontreal.ca
Dynamic texture (DT) segmentation, and video pro-cessing in general, is currently widely
dominated by methods based on deep neural networks with a large number of layers …
dominated by methods based on deep neural networks with a large number of layers …
Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation
L Khelifi, M Mignotte - arXiv preprint arXiv:2006.16177, 2020 - arxiv.org
Dynamic texture (DT) segmentation, and video processing in general, is currently widely
dominated by methods based on deep neural networks that require the deployment of a …
dominated by methods based on deep neural networks that require the deployment of a …