AIMC Topic: Crowding

Clear Filters Showing 11 to 20 of 29 articles

Crowd density estimation using deep learning for Hajj pilgrimage video analytics.

F1000Research Nov 24, 2021
BACKGROUND: This paper focuses on advances in crowd control study with an emphasis on high-density crowds, particularly Hajj crowds. Video analysis and visual surveillance have been of increasing importance in order to enhance the safety and security...
Crowding Humans Neural Networks, Computer Deep Learning Saudi Arabia Algorithms
View on PubMed DOI

Graph Regularized Flow Attention Network for Video Animal Counting From Drones.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 3, 2021
In this paper, we propose a large-scale video based animal counting dataset collected by drones (AnimalDrone) for agriculture and wildlife protection. The dataset consists of two subsets, i.e., PartA captured on site by drones and PartB collected fro...
Algorithms Databases, Factual Animals Artificial Intelligence Video Recording Data Collection Image Processing, Computer-Assisted Animals, Wild Crowding Agriculture
View on PubMed DOI

Crowding in humans is unlike that in convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2020
Object recognition is a primary function of the human visual system. It has recently been claimed that the highly successful ability to recognise objects in a set of emergent computer vision systems-Deep Convolutional Neural Networks (DCNNs)-can form...
Photic Stimulation Visual Perception Recognition, Psychology Crowding Pattern Recognition, Visual Neural Networks, Computer Artificial Intelligence Pattern Recognition, Automated Humans
View on PubMed DOI

Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients.

The American journal of emergency medicine Mar 10, 2020
BACKGROUND: Low-acuity outpatients constitute the majority of emergency department (ED) patients, and these patients often experience an unpredictable length of stay (LOS). Effective LOS prediction might improve the quality of ED care and reduce ED c...
Female Aged Adult Humans Retrospective Studies Taiwan Natural Language Processing Emergency Service, Hospital Middle Aged Length of Stay Male Outpatients Crowding Patient Acuity Clinical Decision Rules Vital Signs
View on PubMed DOI

Crowding reveals fundamental differences in local vs. global processing in humans and machines.

Vision research Jan 7, 2020
Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art models both in computer vision and neuroscience. However, human-like performance of ffCNNs does not necessarily imply human-like computations. Previous studies have sugge...
Form Perception Neural Networks, Computer Computer Simulation Vision, Ocular Humans Crowding Image Processing, Computer-Assisted
View on PubMed DOI

A collaborative neurodynamic approach to global and combinatorial optimization.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2019
In this paper, a collaborative neurodynamic optimization approach is proposed for global and combinatorial optimization. First, a combinatorial optimization problem is reformulated as a global optimization problem. Second, a neurodynamic optimization...
Neural Networks, Computer Crowding
View on PubMed DOI

Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data.

Sensors (Basel, Switzerland) Jan 18, 2019
Currently, effective crowd management based on the information provided by crowd monitoring systems is difficult as this information comes in at the moment adverse crowd movements are already occurring. Up to this moment, very little forecasting tech...
Algorithms Forecasting Geographic Information Systems Pedestrians Reproducibility of Results Humans Neural Networks, Computer Netherlands Movement Crowding
View on PubMed DOI

Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning.

IEEE transactions on cybernetics Nov 20, 2018
Pedestrian regulation can prevent crowd accidents and improve crowd safety in densely populated areas. Recent studies use mobile robots to regulate pedestrian flows for desired collective motion through the effect of passive human-robot interaction (...
Crowding Robotics Pedestrians Algorithms Deep Learning Humans Image Processing, Computer-Assisted
View on PubMed DOI

Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach.

IEEE transactions on pattern analysis and machine intelligence Mar 15, 2017
Active learning is an effective way of engaging users to interactively train models for visual recognition more efficiently. The vast majority of previous works focused on active learning with a single human oracle. The problem of active learning wit...
Image Processing, Computer-Assisted Crowding Humans Female Male Supervised Machine Learning Algorithms Pattern Recognition, Automated
View on PubMed DOI

An Enhanced Artificial Bee Colony Algorithm with Solution Acceptance Rule and Probabilistic Multisearch.

Computational intelligence and neuroscience Dec 24, 2015
The artificial bee colony (ABC) algorithm is a popular swarm based technique, which is inspired from the intelligent foraging behavior of honeybee swarms. This paper proposes a new variant of ABC algorithm, namely, enhanced ABC with solution acceptan...
Bees Computer Simulation Artificial Intelligence Animals Social Behavior Crowding Algorithms Probability
View on PubMed DOI
Popular Topics
Recent Journals