266 citations · 569 across the 17 of their papers we have counts for
17 papers
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints
Abubakar Siddique, Henry Medeiros
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 baggag…
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
Abubakar Siddique, Amy Tabb, Henry Medeiros
Convolutional neural networks trained using manually generated labels are commonly used for semantic or instance segmentation. In precision agriculture, automated flower detection…
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
Reza Jalil Mozhdehi, Henry Medeiros
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. Th…
Tracking Passengers and Baggage Items Using Multiple Overhead Cameras at Security Checkpoints
Abubakar Siddique, Henry Medeiros
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 baggag…
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation
Abubakar Siddique, Reza Jalil Mozhdehi, Henry Medeiros
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…
Deep Convolutional Likelihood Particle Filter for Visual Tracking
Reza Jalil Mozhdehi, Henry Medeiros
We propose a novel particle filter for convolutional-correlation visual trackers. Our method uses correlation response maps to estimate likelihood distributions and employs these l…
Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing
Philipe A. Dias, Henry Medeiros
Semantic segmentation with fine-grained pixel-level accuracy is a fundamental component of a variety of computer vision applications. However, despite the large improvements provid…
FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces
Philipe A. Dias, Zhou Shen, Amy Tabb +1
Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results. Abundan…
Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO
Amy Tabb, Henry Medeiros, Mitchell J. Feldmann +1
This paper describes CALICO, a method for multi-camera calibration suitable for challenging contexts: stationary and mobile multi-camera systems, cameras without overlapping fields…
Detecting Invasive Insects with Unmanned Aerial Vehicles
Brian Stumph, Miguel Hernandez Virto, Henry Medeiros +4
A key aspect to controlling and reducing the effects invasive insect species have on agriculture is to obtain knowledge about the migration patterns of these species. Current state…
Multispecies fruit flower detection using a refined semantic segmentation network
Philipe A. Dias, Amy Tabb, Henry Medeiros
In fruit production, critical crop management decisions are guided by bloom intensity, i.e., the number of flowers present in an orchard. Despite its importance, bloom intensity is…
Apple Flower Detection using Deep Convolutional Networks
Philipe A. Dias, Amy Tabb, Henry Medeiros
To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be removed early in the growing season. The proportion to be removed is determined by the b…
Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections
Philipe A. Dias, Henry Medeiros
Despite recent improvements using fully convolutional networks, in general, the segmentation produced by most state-of-the-art semantic segmentation methods does not show satisfact…
A robotic vision system to measure tree traits
Amy Tabb, Henry Medeiros
The autonomous measurement of tree traits, such as branching structure, branch diameters, branch lengths, and branch angles, is required for tasks such as robotic pruning of trees…
Hierarchical Bayesian Data Fusion for Robotic Platform Navigation
Andres F. Echeverri, Henry Medeiros, Ryan Walsh +2
Data fusion has become an active research topic in recent years. Growing computational performance has allowed the use of redundant sensors to measure a single phenomenon. While Ba…
Fast and robust curve skeletonization for real-world elongated objects
Amy Tabb, Henry Medeiros
We consider the problem of extracting curve skeletons of three-dimensional, elongated objects given a noisy surface, which has applications in agricultural contexts such as extract…
Automatic segmentation of trees in dynamic outdoor environments
Amy Tabb, Henry Medeiros
Segmentation in dynamic outdoor environments can be difficult when the illumination levels and other aspects of the scene cannot be controlled. Specifically in orchard and vineyard…