Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Medeiros, Henry"'
Multi-camera Association (MCA) is the task of identifying objects and individuals across camera views and is an active research topic, given its numerous applications across robotics, surveillance, and agriculture. We investigate a novel multi-camera
Externí odkaz:
http://arxiv.org/abs/2408.09295
Autor:
Siddique, Abubakar, Medeiros, Henry
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems, Early Access, 14 December 2022
We introduce a novel framework to track multiple objects in overhead camera videos for airport checkpoint security scenarios where targets correspond to passengers and their baggage items. We propose a Self-Supervised Learning (SSL) technique to prov
Externí odkaz:
http://arxiv.org/abs/2301.00190
Publikováno v:
IEEE Robotics and Automation Letters ( Volume: 7, Issue: 4, October 2022)
Convolutional neural networks trained using manually generated labels are commonly used for semantic or instance segmentation. In precision agriculture, automated flower detection methods use supervised models and post-processing techniques that may
Externí odkaz:
http://arxiv.org/abs/2209.04618
Autor:
Hernandez, Byron, Medeiros, Henry
Publikováno v:
In Computers and Electronics in Agriculture November 2024 226
Autor:
Mozhdehi, Reza Jalil, Medeiros, Henry
Publikováno v:
Computer Vision and Image Understanding (ELSEVIER), Volume 222, 103479, 2022
This work proposes a novel framework for visual tracking based on the integration of an iterative particle filter, a deep convolutional neural network, and a correlation filter. The iterative particle filter enables the particles to correct themselve
Externí odkaz:
http://arxiv.org/abs/2107.02984
Autor:
Siddique, Abubakar, Medeiros, Henry
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems ( Volume: 53, Issue: 6, June 2023)
We introduce a novel framework to track multiple objects in overhead camera videos for airport checkpoint security scenarios where targets correspond to passengers and their baggage items. We propose a self-supervised learning (SSL) technique to prov
Externí odkaz:
http://arxiv.org/abs/2007.07924
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation
Assigning consistent temporal identifiers to multiple moving objects in a video sequence is a challenging problem. A solution to that problem would have immediate ramifications in multiple object tracking and segmentation problems. We propose a strat
Externí odkaz:
http://arxiv.org/abs/2007.07175
Autor:
Mozhdehi, Reza Jalil, Medeiros, Henry
We propose a novel particle filter for convolutional-correlation visual trackers. Our method uses correlation response maps to estimate likelihood distributions and employs these likelihoods as proposal densities to sample particles. Likelihood distr
Externí odkaz:
http://arxiv.org/abs/2006.06746
Autor:
Dias, Philipe A., Medeiros, Henry
Semantic segmentation with fine-grained pixel-level accuracy is a fundamental component of a variety of computer vision applications. However, despite the large improvements provided by recent advances in the architectures of convolutional neural net
Externí odkaz:
http://arxiv.org/abs/2005.05856
Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects. To accomplish this goal using a vision-based automated approach, multiple tasks such as po
Externí odkaz:
http://arxiv.org/abs/1909.09225